| Name: | Dr Craig Macdonald |
| Occupation: | Information Retrieval Lecturer in the School of Computing Science, University of Glasgow |
| Research Interests: | Expert Search; Blog, Web & Enterprise Information Retrieval |
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| 2024 | |
| Neural Passage Quality Estimation for Static Pruning Xuejen Chang, D. Misra, Craig Macdonald and Sean Macavaney. In Proceedings of SIGIR 2024, accepted. | |
| Bi-Objective Negative Sampling for Sensitivity-Aware Search. Jack McKechnie, Graham McDonald and Craig Macdonald. In Proceedings of SIGIR 2024, accepted. | |
| Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning. Aleksandr Petrov, Craig Macdonald. In 2nd Workshop on Recommendation with Generative Models (WWW'24) | |
| Enhancing Late Interaction with Informative Entities for Passage Retrieval. Jinyuan Fang, Zaiqiao Meng and Craig Macdonald. In First Workshop on Knowledge-Enhanced Information Retrieval (KEIR@ECIR 2024). | |
| Personalised Multi-Modal Interactive Recommendation with Hierarchical State Representations. Yashon Wu, Craig Macdonald, and Iadh Ounis. In ACM Transactions on Recommender System, accepted. | |
| Effective Adhoc Retrieval through Traversal of a Query-Document Graph. Erlend Frayling, Sean MacAvaney, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2024, in press. | |
| Knowledge Graph Cross-View Contrastive Learning for Recommendation. Zeyuan Meng, Iadh Ounis, Craig Macdonald and Zixuan Yi. In Proceedings of ECIR 2024, in press. | |
| Shallow Cross-Encoders for Low-Latency Retrieval. Aleksandr Petrov, Craig Macdonald and Sean MacAvaney. In Proceedings of ECIR 2024, in press. | |
| RecJPQ: Training Large-Catalogue Sequential Recommenders. Aleksandr Petrov, Craig Macdonald. In Proceedings of ACM WSDM 2024. | |
| 2023 | |
| Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting. Sarawoot Kongyoung, Craig Macdonald and Iadh Ounis. In Proc. EMNLP 2023. | |
| Contrastive Graph Prompt-tuning for Cross-domain Recommendation. Zixuan Yi, Iadh Ounis and Craig Macdonald In TOIS, accepted. | |
| KGPR: Knowledge Graph Enhanced Passage Ranking. Jinyuan Fang, Zaiqiao Meng and Craig Macdonald. In Proceedings of ACM CIKM 2023, accepted. | |
| Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. Yaxiong Wu, Craig Macdonald and Iadh Ounis. In Proceedings of ACM RecSys 2023 . | |
| gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. Aleksandr Petrov, Craig Macdonald. In Proceedings of ACM RecSys 2023, Best Paper Award. | |
| [arXiv] | Generative Query Reformulation. Xiao Wang, Sean MacAvaney, Craig Macdonald and Iadh Ounis. In Proceedings of Gen-IR @ SIGIR 2023 workshop. |
| [arXiv] | Generative Sequential Recommendation with GPTRec. Aleksandr Petrov, Craig Macdonald. In Proceedings of Gen-IR @ SIGIR 2023 workshop. |
| Static Pruning for Multi-Representation Dense Retrieval. Antonio Acquavia, Nicola Tonellotto, Craig Macdonald. In Proceedings of DocEng'2023. Best paper award nominee. | |
| RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling. Aleksandr Petrov, Craig Macdonald. In ACM Transactions on Recommender System, in press. | |
| Effective Contrastive Weighting for Dense Query Expansion. Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis. In Proceedings of ACL 2023. | |
| Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col*. Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis. In Proceedings of SIGIR 2023. | |
| Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. Ashutosh Singh, Debasis Ganguly, Suchana Datta and Craig Macdonald. In Proceedings of SIGIR 2023. | |
| Doc2Query--: When Less is More. Mitko Gospodinov, Sean MacAvaney, Craig Macdonald. In Proceedings of ECIR 2023. Best paper award. | |
| Contrastive Graph Learning with Positional Representation for Recommendation. Zixuan Yi, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2023. | |
| ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis. In ACM Transactions on the Web. | |
| 2022 | |
| monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering. Sarawoot Kongyoung, Craig Macdonald and Iadh Ounis. In EMNLP 2022. | |
| Adaptive Re-Ranking as an Information-Seeking Agent. Sean MacAvaney, Nicola Tonellotto and Craig Macdonald. In Proceedings of First Workshop on Proactive and Agent-Supported Information Retrieval (PASIR 2022 @ CIKM). | |
| Graph neural pre-training for recommendation with side information Siwei Liu, Zaiqiao Meng, Craig Macdonald and Iadh Ounis. In ACM Transactions on the Web. | |
| Adaptive Re-Ranking with a Corpus Graph. Sean MacAvaney, Nicola Tonellotto and Craig Macdonald. In Proceedings of CIKM 2022. | |
| BanditProp: Bandit Selection of Review Properties for Effective Recommendation. Xi Wang, Iadh Ounis and Craig Macdonald. In ACM Transactions on the Web. | |
| Performance Predictors for Conversational Fashion Recommendation. Maria Vlachou, Craig Macdonald. In 4th Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop @ RecSys 2022. | |
| Improving Zero-Shot Retrieval using Dense External Expansion. Xiao Wang, Craig Macdonald and Iadh Ounis. In Information Processing & Management. | |
| A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. Aleksandr Petrov and Craig Macdonald. In Proceedings of RecSys 2022. | |
| Effective and Efficient Training for Sequential Recommendation using Recency Sampling. Aleksandr Petrov and Craig Macdonald. In Proceedings of RecSys 2022. Best paper award nominee | |
| Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. Yaxiong Wu, Craig Macdonald and Iadh Ounis. In Proceedings of RecSys 2022. | |
| Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback. Yaxiong Wu, Craig Macdonald and Iadh Ounis. In Proceedings of CUI 2022. | |
| Multi-modal Graph Contrastive Learning for Micro-video Recommendation. Zixuan Yi, Xi Wang, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2022. | |
| An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. Siwei Liu, Iadh Ounis and Craig Macdonald In Proceedings of SIGIR 2022. | |
| An Inspection of the Reproducibility and Replicability of TCT-ColBERT. Xiao Wang, Sean MacAvaney, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2022. | |
| A Python Interface to PISA! Sean MacAvaney, Craig Macdonald. In Proceedings of SIGIR 2022. | |
| Reproducing Personalised Session Search over the AOL Query Log. Sean MacAvaney, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2022. | |
| Streamlining Evaluation with ir-measures. Sean MacAvaney, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2022. | |
| Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. Xi Wang, Iadh Ounis and Craig Macdonald. In Proceedings of ECIR 2022. | |
| 2021 | |
| Search Results Diversification for Effective Fair Ranking in Academic Search. Graham McDonald, Iadh Ounis and Craig Macdonald. In Information Retrieval journal. | |
| PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. Craig Macdonald, Nicola Tonellotto, Sean MacAvaney and Iadh Ounis. In Proceedings of CIKM 2021. | |
| [arXiv] | Query Embedding Pruning for Dense Retrieval. Nicola Tonellotto and Craig Macdonald. In Proceedings of CIKM 2021. |
| We need to go deeper: measuring electoral violence using convolutional neural networks and social media. David Muchlinski, Xiao Yang, Sarah Birch, Craig Macdonald and Iadh Ounis. Political Science Research and Methods, 9(1), pp. 122-139 | |
| [arXiv] | On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. Craig Macdonald and Nicola Tonellotto. In Proceedings of CIKM 2021. |
| Variational Bayesian Representation Learning for Grocery Recommendation. Zaiqiao Meng, Richard McCreadie, Craig Macdonald and Iadh Ounis. In Information Retrieval Journal. | |
| [arXiv] | On Single and Multiple Representations in Dense Passage Retrieval. Craig Macdonald, Nicola Tonelotto and Iadh Ounis. In Proceedings of IIR 2021, best paper award. |
| Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. Yashon Wu, Craig Macdonald, and Iadh Ounis. In Proceedings of RecSys 2021. | |
| [arXiv] [Code] | Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. Xiao Wang, Craig Macdonald, Nicola Tonelotto and Iadh Ounis. In Proceedings of ICTIR 2021. |
| Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. Alberto Ueda, Rodrygo Santos, Craig Macdonald, and Iadh Ounis. In Proceedings of SIGIR 2021. | |
| [Slides] [Code] | Tutorial: IR From Bag-of-words to BERT andBeyond through Practical Experiments. Sean MacAvaney, Craig Macdonald and Nicola Tonellotto. In Proceedings of ECIR 2021. |
| Leveraging Review Properties for Effective Recommendation. Xi Wang, Iadh Ounis, Craig Macdonald. In Proceedings of WWW 2021 | |
| [arXiv] | The Simpson's Paradox in the Offline Evaluation of Recommendation Systems Amir Jadinedad, Craig Macdonald, Iadh Ounis. In ACM TOIS. |
| 2020 | |
| Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. Ziaoqiao Meng, Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of RecSys 2020. | |
| BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. Zaiqiao Meng et al. In Proceedings of RecSys 2020. | |
| [Pdf] | Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis. In Proceedings of the 5th International Workshop on Search-Oriented Conversational AI (SCAI). |
| How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. Graham McDonald, Craig Macdonald, Iadh Ounis. In TOIS. | |
| Explicit Diversification of Search Results across Multiple Dimensions for Educational Search. Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Ozgü rUlusoy. In JASIST | |
| Supervised Approaches for Explicit Search Result Diversification. Sevgii Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Ozgü rUlusoy. In Information Processing and Management. | |
| [arXiv] | Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. Xi Wang, Craig Macdonald, and Iadh Ounis. In Proceedings of CIKM 2020. |
| [arXiv] | Deep Reinforced Query Reformulation for Information Retrieval Xiao Wang, Craig Macdonald, and Iadh Ounis. In Proceedings of DLR4IR workshop at SIGIR 2020. |
| [arXiv] [Code] | Declarative Experimentation in Information Retrieval using PyTerrier. Craig Macdonald, and Nicola Tonelotto. In Proceedings of ICTIR 2020. Best Paper Honourable Mention. |
| A Hybrid Conditional Variational Autoencoder Model for Personalised Top-N Recommendation. Yaxion Wu, Craig Macdonald, and Iadh Ounis. In Proceedings of ICTIR 2020. | |
| Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. Jimmy Lin, Joel Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, and Arjen de Vries. In Proceedings of SIGIR 2020. | |
| Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. Graham McDonald, Craig Macdonald, and Iadh Ounis. In Proceedings of SIGIR 2020. | |
| Using Exploration to Alleviate Closed-Loop Effects in Recommender Systems. Amir Jadinedad, Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR 2020. | |
| A Heterogeneous Graph Neural Model for Cold-Start Recommendation. Siwei Liu, Iadh Ounis, Craig Macdonald and Zaiqiao Meng. In Proceedings of SIGIR 2020. | |
| Effective contact recommendation in social networks by adaptation of information retrieval models. Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis and Pablo Castells. In Information Processing and Management. | |
| Using an Inverted Index Synopsis for Query Latency and Performance Prediction. Nicola Tonellotto, Craig Macdonald. In ACM Transaction on Information Systems. | |
| Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR perspective Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis and Pablo Castells. In Proceedings of ECIR 2020. | |
| [Pdf] | University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track Ting Su, Xi Wang, Craig Macdonald, and Iadh Ounis. In Proceedings of TREC 2020. |
| 2019 | |
| How Sensitive is Recommendation Systems' Offline Evaluation to Popularity? Amir Jadidinejad, Craig Macdonald and Iadh Ounis. In REVEAL 2019 Workshop at RecSys. | |
| A contextual recurrent collaborative filtering framework for modelling sequences of venue checkins. Jarana Manotumruksa, Craig Macdonald and Iadh Ounis. Information Processing and Management. | |
| Variational Bayesian Context-aware Representation for Grocery Recommendation. Zaiqiao Meng, Richard McCreadie, Craig Macdonald and Iadh Ounis. CARS workshop at RecSys 2019. | |
| Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. Amir Jadidinejad, Craig Macdonald and Iadh Ounis. In Proceedings of ICTIR 2019. | |
| Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019. Ting Su, Craig Macdonald and Iadh Ounis. In Proceedings of CLEF 2019. | |
| Dockerising Terrier for The Open-Source IR Replicability Challenge. Arthur Câmara, and Craig Macdonald. In Proceedings of OSIRRC workshop at SIGIR 2019. | |
| The FACTS of Technology-Assisted Sensitivity Review. Graham McDonald, Craig Macdonald and Iadh Ounis. In Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR at SIGIR'19). | |
| Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. Ting Su, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2019. | |
| Event attendance classification in social media. Vinicius Monteirode Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valeria Cesario Times. In Information Processing & Management. | |
| On enhancing the robustness of timeline summarization test collections. Richard McCreadie, Shazad Rajput, Ian Soboroff, Craig Macdonald, Iadh Ounis. In Information Processing & Management. | |
| On Cross-Domain Transfer in Venue Recommendation. Jarana Manotumruksa, Dimitrios Rafailidis, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2019. | |
| Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. Xi Wang, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2019. | |
| Evaluating Similarity Metrics for Latent Twitter Topics. Xi Wang, Anjie Fang, Iadh Ounis and Craig Macdonald. In Proceedings of ECIR 2019. | |
| How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. Graham McDonald, Craig Macdonald, Iadh Ounis. In Proceedings of CHIIR 2019. | |
| 2018 | |
| [Doi] [Pdf] | Efficient Query Processing for Scalable Web Search. Nicola Tonellotto, Craig Macdonald and Iadh Ounis. In Foundations and Trends® in Information Retrieval. Vol. 12: No. 4-5, pp 319-500. |
| An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. Anjie Fang, Iadh Ounis, Craig Macdonald, Philip Habel, Xiaoyu Xiong, Hai-Tao Yu. In Proceedings of CIKM 2018. | |
| Learning to Geolocalise Tweets at a Fine-Grained Level.Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, and Iadh Ounis. In Proceedings of CIKM 2018. | |
| [Pdf] [Code] | Agile Information Retrieval Experimentation with Terrier Notebooks. Craig Macdonald, Richard McCreadie and Iadh Ounis. In Proceedings of DESIRES 2018. |
| Automatic Ground Truth Expansion for Timeline Evaluation. Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2018. | |
| [Code] | Contextual Attention Recurrent Architecture for Context-aware Venue Recommendation. Jarana Manotumruksa, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2018. |
| [Code] | Combining Terrier with Apache Spark to create agile experimental information retrieval pipelines. Craig Macdonald. In Proceedings of SIGIR 2018. |
| On Refining Twitter Lists as Ground Truth Data for Multi-Community User Classification. Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2018. | |
| Active Learning Strategies for Technology Assisted Sensitivity Review. Graham McDonald, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2018. | |
| Towards Maximising Openness in Digital Sensitivity Review using Reviewing Time Predictions. Graham McDonald, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2018. | |
| On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald and Anjie Fang. In Proceedings of ECIR 2018. | |
| On the Cost of Negation for Dynamic Pruning. Joel Mackenzie, Craig Macdonald, Falk Scholer and J. Shane Culpepper. In Proceedings of ECIR 2018. | |
| 2017 | |
| Using word embeddings in Twitter election classification. Xiao Yang, Craig Macdonald and Iadh Ounis. Information Retrieval, Accepted. | |
| Explicit Diversification of Event Aspects for Temporal Summarization. Richard McCreadie, Rodrygo Santos, Craig Macdonald and Iadh Ounis. In ACM Transactions on Information Systems, Accepted. | |
| A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation. Jarana Manotumruksa, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2017. | |
| A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation. Jarana Manotumruksa, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2017. | |
| On the Additivity and Weak Baselines for Search Result Diversification Research. Mehmet Akcay, Ismail Sengor Altingovde, Craig Macdonald and Iadh Ounis. In Proceedings of ICTIR 2017. | |
| Upper Bound Approximations for BlockMaxWand. Nicola Tonellotto and Craig Macdonald. In Proceedings of ICTIR 2017. | |
| Transfer Learning for Multi-language Twitter Election Classification. Xiao Yang, Richard Mccreadie, Craig Macdonald and Iadh Ounis. In Proceedings of ASONAM 2017. | |
| Exploring Social Media for Event Attendance. Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Chiara Renso, Raffaele Perego and Valeria Cesario Times. In Proceedings of ASONAM 2017. | |
| Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. Karin Sim Smith, Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of ASONAM 2017. | |
| Efficient & Effective Selective Query Rewriting with Efficiency Predictions. Craig Macdonald, Nicola Tonellotto and Iadh Ounis. In Proceedings of SIGIR 2017. | |
| A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. Graham McDonald, Nicolás García-Pedrajas, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2017. | |
| Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks. Jarana Manotumruksa, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2017. | |
| Enhancing Sensitivity Classification with Semantic Features using Word Embeddings. Graham McDonald, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2017. | |
| Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel and Xiao Yang. In Proceedings of ECIR 2017. Best Student Paper Award. | |
| 2016 | |
| [arXiv] | Emergency Identification and Analysis with EAIMS. Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of SWDM Workshop at CIKM 2016. arXiv:1610.04002 |
| Regularising Factorised Models for Venue Recommendation using Friends and their Comments. Jarana Manotumruksa, Craig Macdonald, Iadh Ounis. In Proceedings of CIKM 2016. | |
| [arXiv] | Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation. Jarana Manotumruksa, Craig Macdonald, Iadh Ounis. In Proceedings of NeuIR workshop at SIGIR 2016. |
| [arXiv] | Using Word Embeddings in Twitter Election Classification. Xiao Yang, Craig Macdonald, Iadh Ounis. In Proceedings of NeuIR workshop at SIGIR 2016. |
| Predicting Contextually Appropriate Venues in Location-Based Social Networks. Jarana Manotumruksa, Craig Macdonald, Iadh Ounis. In Proceedings of CLEF 2016. | |
| [Pdf] | Monitoring Electoral Violence through Social Media: A Machine Learning Approach. Xiao Yang, Craig Macdonald, Iadh Ounis. In Proceedings of International Conference on Computational Social Science, 2016. |
| Risk-Sensitive Evaluation and Learning to Rank using Multiple Baselines. B. Taner Dincer, Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR 2016. | |
| Examining the Coherence of the Top Ranked Tweet Topics. Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel. In Proceedings of SIGIR 2016. | |
| [Pdf] | Enhancing First Story Detection using Word Embeddings. Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR 2016. |
| Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel. In Proceedings of SIGIR 2016. | |
| EAIMS: Emergency Analysis Identification and Management System. Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR 2016. | |
| Comparing Overall and Targeted Sentiments in Social Media during Crises. Saúl Vargas, Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of ICWSM 2016. | |
| [Doi] | Experiments in Newswire Summarisation. Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of ECIR 2016, reproducible track. |
| [Doi] | Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge. Jimmy Lin, Matt Crane, Andrew Trotman, Jaime Callan, Ishan Chattopadhyaya, John Foley, Grant Ingersoll, Craig Macdonald and Sebastiano Vigna. In Proceedings of ECIR 2016, reproducible track. |
| [Doi] | A User Study of Topic Coherence Metrics for Twitter Data. Anjie Fang, Craig Macdonald, Iadh Ounis and Philip Habel. In Proceedings of ECIR 2016. Best Paper Honourable Mention. |
| 2015 | |
| [Pdf] | Analysing Compression Techniques for In-Memory Collaborative Filtering. Saul Vargas, Craig Macdonald, Iadh Ounis. In Proceedings of RecSys 2015. |
| Using Part-of-Speech N-grams for Sensitive-text Classification. Graham McDonald, Craig Macdonald, Iadh Ounis. In Proceedings of ICTIR 2015. | |
| Transferring Learning To Rank Models for Web Search. Craig Macdonald, B. Taner Dincer, Iadh Ounis. In Proceedings of ICTIR 2015. | |
| Experiments with a Venue-Centric Model for Personalised and Time-Aware Venue Suggestion. Romain Deveaud, Dyaa Albakour, Craig Macdonald, Iadh Ounis. In Proceedings of CIKM 2015. | |
| Generalized Team Draft Interleaving. Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis. In Proceedings of CIKM 2015. | |
| Semi-Automated Text Classification for Sensitivity Identification. Fabrizio Sebastiani, Andrea Esuli, Giacomo Berardi, Craig Macdonald, Iadh Ounis. In Proceedings of CIKM 2015. | |
| Modelling the Usefulness of Document Collections for Query Expansion in Patient Search. Nut Limsopatham, Craig Macdonald, Iadh Ounis. In Proceedings of CIKM 2015. | |
| Experiences Implementing SQL Design Patterns in a First Year Computing Science Degree Database Course. Craig Macdonald, Karen Renaud. In Proceedings of the 13th International Workshop on Teaching, Learning and Assessment of Databases (TLAD 2015). | |
| Constructing Sailing Match Race Schedules: Round-Robin Pairing Lists. Craig Macdonald, Ciaran McCreesh, Alice Miller and Patrick Prosser. In Proceedings of the 21st International Conference on Principles and Practice of Constraint Programming (CP 2015). | |
| Sequential Testing for Early Stopping of Online Experiments. Eugene Kharitonov, Aleksandr Vorobev, Craig Macdonald, Pavel Serdyukov and Iadh Ounis. In Proceedings of SIGIR 2015. Best student paper award. | |
| Optimised Scheduling of Online Experiments. Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov and Iadh Ounis. In Proceedings of SIGIR 2015. | |
| Load-sensitive CPU Power Management for Web Search Engines. Matteo Catena, Craig Macdonald and Nicola Tonellotto. In Proceedings of SIGIR 2015. | |
| Using Sensor Metadata Streams to Identify Topics of Local Events in the City. M-Dyaa Albakour, Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR 2015. | |
| Topic-centric Classification of Twitter User's Political Orientation. Anjie Fang, Iadh Ounis, Philip Habel and Craig Macdonald. In Proceedings of SIGIR 2015. | |
| Comparing Approaches for Query Autocompletion. Giovanni Di Santo, Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR 2015. | |
| [Pdf] | Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. Graham McDonald, Romain Deveaud, Richard Mccreadie, Craig Macdonald, and Iadh Ounis. In Proceedings of ICWSM 2015. |
| [Pdf] | Tweeting Behaviour during Train Disruptions within a City. Nut Limsopatham, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis. In Proceedings of Digital Placemaking: Augmenting Physical Places with Contextual Social Data -- Workshop at ICWSM 2015. |
| [Doi] [Pdf] | Search Result Diversification. Rodrygo Santos, Craig Macdonald, and Iadh Ounis. Foundations and Trends in Information Retrieval 9(1):1--90. |
| [Acm] [Pdf] | Crowdsourced Rumour Identification During Emergencies. Richard Mccreadie, Craig Macdonald, and Iadh Ounis. In Proceedings of RDSM Workshop at WWW 2015. |
| [Acm] [Pdf] | SUPER: Towards the use of social sensors for security assessments and proactive management of emergencies. Richard Mccreadie, Karolin Kappler, Magdalini Kardara, Andreas Kaltenbrunner, Craig Macdonald, John Soldatos and Iadh Ounis. In Proceedings of SWDM Workshop at WWW 2015. |
| [Pdf] | Suggestion contextuelle composite. Thibaut Thonet, Romain Deveaud, Iadh Ounis, Craig Macdonald. In Proceedings of CORIA 2015. |
| 2014 | |
| On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions. Romain Deveaud, M-Dyaa Albakour, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2014. | |
| SmartVenues: Recommending Popular and Personalised Venues in a City. Romain Deveaud, M-Dyaa Albakour, Craig Macdonald and Iadh Ounis.In Proceedings of CIKM 2014. | |
| Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2014. | |
| Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients. Nut Limsopatham, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2014. | |
| University of Glasgow Terrier Team / Project Abaca at RepLab 2014: Reputation Dimensions Task. Graham McDonald, Romain Deveaud, Craig Macdonald, Richard McCreadie, Timothy Gollins, Craig Macdonald and Iadh Ounis. In Proceedings of CLEF 2014 Labs. | |
| Comparing Algorithms for Microblog Summarisation. Stuart Mackie, Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of CLEF 2014. | |
| A Study of Personalised Medical Literature Search. Richard Mccreadie, Craig Macdonald, Iadh Ounis and Jon Brassey. In Proceedings of CLEF 2014. | |
| Diversifying Contextual Suggestions from Location-based Social Networks. M-Dyaa Albakour, Romain Deveaud, Craig Macdonald and Iadh Ounis. In Proceedings of IIIX 2014. | |
| Choosing an Effective Automatic Evaluation Metric for Microblog Summarisation. Stuart Mackie, Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of IIIX 2014. | |
| Towards Green Information Retrieval: Studying the Suitability of Queueing Theory in Reducing Power Consumption. Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis and Fidel Cacheda. In Proceedings of the 3rd Spanish Conference on Information Retrieval (CERI 2014) | |
| [Pdf] | On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. Timothy Gollins, Graham McDonald, Craig Macdonald, Iadh Ounis. In Proceedings of the 1st International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with 37th Annual International ACM SIGIR conference (SIGIR 2014). |
| [Pdf] [Code] | Hypothesis Testing for Risk-Sensitive Evaluation of Retrieval Systems. B. Taner Dinçer, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2014. |
| [Pdf] | Real-Time Detection, Tracking and Monitoring of Automatically Discovered Events in Social Media. Miles Osborne, Sean Moran, Richard McCreadie, Alexander Von Lunen, Martin Sykora, Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna and Ann O'Brien. In Proceedings of ACL 2014, Baltimore USA. |
| [Pdf] | Challenges in Recommending Venues within Smart Cities. Romain Deveaud, M-Dyaa Albakour, Craig Macdonald and Iadh Ounis. In Proceedings of the 1st International Workshop on Information Access in Smart Cities (iASC-2014), colocated with ECIR 2014. |
| [Pdf] | On Inverted Index Compression for Search Engine Efficiency. Matteo Catena, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2014. Best Paper Award. |
| [Pdf] | Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems. B. Taner Dinçer, Iadh Ounis and Craig Macdonald. In Proceedings of ECIR 2014. |
| [Pdf] | Towards a Classifier for Digital Sensitivity Review. Graham McDonald, Craig Macdonald, Iadh Ounis and Timothy Gollins. In Proceedings of ECIR 2014. |
| [Pdf] [Acm] | A Self-Adapting Latency/Power Tradeoff Model for Replicated Search Engines. Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis and Fidel Cacheda. In Proceedings of WSDM 2014. |
| 2013 | |
| Scalable Distributed Event Detection for Twitter. Richard McCreadie, Craig Macdonald, Iadh Ounis, Miles Osborne, and Sasa Petrovic. In Proceedings of IEEE International Conference on Big Data. | |
| Intent Models for Contextualising and Diversifying Query Suggestions. Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov and Iadh Ounis. In Proceedings of CIKM 2013. | |
| [Pdf] | On Sparsity and Drift for Effective Real-time Filtering in Microblogs. M-Dyaa Albakour, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2013. |
| Learning to Handle Negated Language in Medical Records Search. Nut Limsopatham, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2013. | |
| Load-Sensitive Selective Pruning for Distributed Search. Nicola Tonellotto, Fabrizio Silvestri, Raffaele Perego, Daniele Broccolo, Salvatore Orlando, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2013. | |
| [Pdf] | Using Historical Click Data to Increase Interleaving Sensitivity. Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov and Iadh Ounis. In Proceedings of CIKM 2013. |
| [Doi] | Query Processing in Highly-Loaded Search Engines. Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri and Nicola Tonellotto. In Proceedings of SPIRE 2013. |
| [Pdf] | Incorporating Efficiency in Evaluation. Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov and Iadh Ounis. In Proceedings of SIGIR 2013 Workshop on Modeling User Behavior for Information Retrieval Evaluation (MUBE 2013). |
| [Acm] | Learning to Combine Representations for Medical Records Search. Nut Limsopatham, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2013. |
| [Acm] | User model-based metrics for offline query suggestion evaluation. Eugene Kharitonov, Craig Macdonald, Iadh Ounis and Pavel Serdyukov. In Proceedings of SIGIR 2013. |
| [Acm] | News Vertical Search: When and What to Display to Users. Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR 2013. |
| [Pdf] | Can Twitter Replace Newswire for Breaking News? Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, Luke Shrimpton. In Proceedings of ICWSM 2013. |
| [Pdf] | University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks. Nut Limsopatham, Richard McCreadie, M-Dyaa Albakour, Craig Macdonald, Rodrygo L.T. Santos, Iadh Ounis. In Proceedings of TREC 2012. |
| Selecting Effective Expansion Terms for Diversity. Saúl Vargas, Rodrygo L.T. Santos, Craig Macdonald, Iadh Ounis. In Proceedings of OAIR 2013. | |
| [Pdf] | Relevance in Microblogs: Enhancing Tweet Retrieval using Hyperlinked Documents. Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of OAIR 2013. |
| Identifying Local Events by Using Microblogs as Social Sensors. M-Dyaa Albakour, Craig Macdonald, Iadh Ounis. In Proceedings of OAIR 2013. | |
| Inferring Conceptual Relationships to Improve Medical Records Search. Nut Limsopatham, Craig Macdonald, Iadh Ounis. In Proceedings of OAIR 2013. | |
| [Pdf] [Acm] | About Learning Models with Multiple Query Dependent Features. Craig Macdonald, Rodrygo L.T. Santos, Iadh Ounis and Ben He. Transactions on Information Systems. 31(3). |
| Aggregating Evidence from Hospital Departments to Improve Medical Records Search. Nut Limsopathan, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2013. | |
| A Task-Specific Query and Document Representation for Medical Records Search. Nut Limsopathan, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2013. | |
| Hybrid Query Scheduling for a Replicated Search Engine. Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, and Fidel Cacheda. In Proceedings of ECIR 2013. | |
| [Pdf] | Efficient and effective retrieval using selective pruning. Nicola Tonellotto, Craig Macdonald and Iadh Ounis. In Proceedings of WSDM 2013. |
| 2012 | |
| [Doi] | Learning to rank query suggestions for adhoc and diversity search. Rodrygo L.T. Santos, Craig Macdonald and Iadh Ounis. In Information Retrieval. |
| [Doi] [Pdf] | Information Retrieval on the Blogosphere. Rodrygo L.T. Santos, Craig Macdonald, Richard McCreadie, Iadh Ounis and Ian Soboroff. In Foundations and Trends in Information Retrieval 6(1), pages 1-125. |
| [Doi] | Modelling Efficient Novelty-based Search Result Diversification in Metric Spaces. Veronica Gil-Costa, Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Journal of Discrete Algorithms. |
| [Doi] [Pdf] | On the Usefulness of Query Features for Learning to Rank. Craig Macdonald, Rodrygo Santos and Iadh Ounis. In Proceedings of CIKM 2012. |
| [Doi] | An Examination of Content Farms in Web Search using Crowdsourcing. Richard McCreadie, Craig Macdonald, Iadh Ounis, Jim Giles and Ferris Jabr. In Proceedings of CIKM 2012. |
| [Pdf] | From Puppy to Maturity: Experiences in Developing Terrier. Craig Macdonald, Richard McCreadie, Rodrygo Santos and Iadh Ounis. In Proceedings of the SIGIR Workshop in Open Source Information Retrieval. |
| [Pdf] | SMART: An open source framework for searching the physical world. M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Aristodemos Pnevmatikakis and John Soldatos. In Proceedings of the SIGIR Workshop in Open Source Information Retrieval. |
| [Pdf] | Bieber no more: First Story Detection using Twitter and Wikipedia. Miles Osborne, Sasa Petrovic, Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of the SIGIR Workshop in Time-aware Information Access. (TAIA). |
| [Pdf] [Doi] | The Whens and Hows of Learning to Rank. Craig Macdonald, Rodrygo Santos and Iadh Ounis. Information Retrieval 16(5):584-628. |
| [Pdf] | Learning to Predict Response Times for Online Query Scheduling. Craig Macdonald, Nicola Tonellotto and Iadh Ounis. In Proceedings of SIGIR 2012. |
| [Pdf] | Scheduling Queries Across Replicas. Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis and Fidel Cacheda. In Proceedings of SIGIR 2012. |
| [Pdf] | On Building a Reusable Twitter Corpus. Richard McCreadie, Ian Soboroff, Jimmy Lin, Craig Macdonald, Iadh Ounis, and Dean McCullough. In Proceedings of SIGIR 2012. |
| [Pdf] | Effect of Dynamic Pruning Safety on Learning to Rank Effectiveness. Craig Macdonald, Nicola Tonellotto, and Iadh Ounis. In Proceedings of SIGIR 2012. |
| [Pdf] | Exploiting Term Dependency While Handling Negation in Medical Search. Nut Limsopatham, Craig Macdonald, Richard McCreadie, and Iadh Ounis. In Proceedings of SIGIR 2012. |
| [Pdf] | CrowdTerrier: Automatic Crowdsourced Relevance Assessments with Terrier. Richard McCreadie, Craig Macdonald, and Iadh Ounis. In Proceedings of SIGIR 2012. |
| [Pdf] | On the role of novelty for search result diversification. Rodrygo L. T. Santos, Craig Macdonald, and Iadh Ounis. Information Retrieval Journal. 15(5):478--502. |
| Evaluating Real-Time Search over Tweets. Ian Soboroff, Dean McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie. In Proceedings of ICWSM 2012. | |
| [Pdf] | University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks. Richard McCreadie, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis. In Proceedings of TREC 2011. |
| [Pdf] | Multimedia Search over Integrated Social and Sensor Networks. John Soldatos, Moez Draief, Craig Macdonald and Iadh Ounis. In Proceedings of the 21st World Wide Web Conference (WWW 2012). |
| [Acm] | 2nd international workshop on diversity in document retrieval (DDR 2012). Craig Macdonald, Jun Wang and Charles Clarke. In Proceedings of the 5th ACM international conference on Web search and data mining (WSDM 2012). |
| 2011 | |
| [Acm] [Pdf] | Upper-bound Approximations for Dynamic Pruning. Craig Macdonald, Nicola Tonellotto and Iadh Ounis. ACM Transactions on Information Systems. 29(4), 2011. |
| [Pdf] | University of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on subtopic mining and document ranking. Rodrygo L. T. Santos, Craig Macdonald, and Iadh Ounis. In Proceedings of the 9th NTCIR Workshop Meeting, Tokyo, Japan, 2011. |
| [Pdf] | Query Efficiency Prediction for Dynamic Pruning. Nicola Tonellotto, Craig Macdonald and Iadh Ounis. In Proceedings of LSDS-IR 2011 at CIKM 2011. Best paper award. |
| [Pdf] | Effectiveness beyond the first crawl tier. Rodrygo L. T. Santos, Craig Macdonald, and Iadh Ounis. In Proceedings of CIKM 2011. |
| [Pdf] | Sparse Spatial Selection for Novelty-based Search Result Diversification. Veronica Gil-Costa, Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Proceedings of SPIRE 2011. |
| A Learned Approach for Ranking News in Real-time using the Blogosphere. Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of SPIRE 2011. | |
| On Upper Bounds for Dynamic Pruning. Craig Macdonald, Nicola Tonellotto and Iadh Ounis. In Proceedings of ICTIR 2011. | |
| Protocol-driven Searches for Medical & Health-Sciences Systematic Reviews. Matt-Mouley Bouamrane, Frances S. Mair, Craig Macdonald and Iadh Ounis. In Proceedings of ICTIR 2011. | |
| Aggregated Search Result Diversification. Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Proceedings of ICTIR 2011. | |
| [Doi] [Pdf] |
Intent-Aware Search Result Diversification. Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2011. |
| [Doi] [Pdf] |
On the Suitability of Diversity Metrics for Learning-to-Rank for Diversity. Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2011. |
| [Doi] |
Effect of Different Docid Orderings on Dynamic Pruning Strategies. Nicola Tonellotto, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2011. |
| [Doi] [Pdf] |
How Diverse are Web Search Results? Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2011. |
| [Pdf] [Doi] |
Disambiguating Biomedical Acronyms Using EMIM. Nut Limsopatham, Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2011. |
| [Pdf] |
Proceedings of the 1st International Workshop on Diversity in Document Retrieval (DDR 2011) at ECIR 2011. Craig Macdonald, Jun Wang and Charles Clarke. Dublin, Ireland, 2011. |
| [Pdf] |
University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web tracks. Rodrygo L.T. Santos, Richard McCreadie, Craig Macdonald, and Iadh Ounis. In Proceedings of the 19th Text REtrieval Conference (TREC 2010), Gaithersburg, MD, USA, 2010. |
| [Doi] |
MapReduce Indexing Strategies: Studying Scalability and Efficiency. Richard McCreadie, Craig Macdonald and Iadh Ounis. In Information Processing & Management J. |
| [Doi] |
The influence of the document ranking for expert search. Craig Macdonald and Iadh Ounis. In Information Processing & Management J. |
| [Doi] |
Mimicking Web search engines for expert search. Rodrygo L.T. Santos, Craig Macdonald and Iadh Ounis. In Information Processing & Management J. |
| [Pdf] |
Learning Models for Ranking Aggregates. Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2011. Best paper award nominee. |
| 2010 | |
| [Pdf] |
Selectively Diversifying Web Search Results. Rodrygo Santos, Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2010. |
| [Pdf] |
Global Statistics in Proximity Weighting Models. Craig Macdonald and Iadh Ounis. In Proceedings of Web N-gram 2010 Workshop at SIGIR. |
| [Pdf] |
Efficient Dynamic Pruning with Proximity Support. Nicola Tonellotto, Craig Macdonald and Iadh Ounis. In Proceedings of LSDS-IR 2010 Workshop at SIGIR. Best paper award. |
| [Pdf] |
Crowdsourcing a News Query Classification Dataset. Richard McCreadie, Craig Macdonald, and Iadh Ounis. In Proceedings of CSE 2010 Workshop at SIGIR. |
| [Pdf] |
Blog Track Research at TREC. Craig Macdonald, Rodrygo Santos, Iadh Ounis and Ian Soboroff. In SIGIR Forum 44(1):57-74. 2010. |
| [Pdf] |
Overview of the TREC-2009 Blog Track. Craig Macdonald, Iadh Ounis and Ian Soboroff. In Proceedings of Text REtrieval Conference 2009. NIST Special Publication. 2010, NIST, Gaithersburg, MD, USA. |
| [Pdf] |
University of Glasgow at TREC-2009: Experiments with Terrier. Richard McCreadie, Crai Macdonald, Iadh Ounis, Jie Peng, Rodrygo L.T. Santos. In Proceedings of Text REtrieval Conference 2009. NIST Special Publication. 2010, NIST, Gaithersburg, MD, USA. |
| [Pdf] |
Voting for Related Entities Rodrygo L.T. Santos, Craig Macdonald, Iadh Ounis. In Proceedings of RAIO 2010. |
| [Pdf] |
News Article Ranking: Leveraging the Wisdom of Bloggers Richard M. C. McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of RAIO 2010. |
| [Pdf] |
Exploiting Query Reformulations for Web Search Result Diversification Rodrygo L.T. Santos, Craig Macdonald, Iadh Ounis. In Proceedings of WWW 2010. |
| [Pdf] |
Insights on the Horizon of News Search Richard M. C. McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of SSM 2010 Workshop at WSDM 2010. |
| [Pdf] |
Explicit Search Result Diversification through Sub-Queries Rodrygo L.T. Santos, Jie Peng, Craig Macdonald, Iadh Ounis. In Proceedings of ECIR 2010. |
| [Pdf] |
Learning to Select a Ranking Function Jie Peng, Craig Macdonald, Iadh Ounis. In Proceedings of ECIR 2010. |
| 2009 | |
| [Pdf] [Acm] |
The Influence of the Document Ranking in Expert Search Craig Macdonald, Iadh Ounis. In Proceedings of CIKM 2009. |
| [Acm] |
A Study of Selective Collection Enrichment for Enterprise Search Jie Peng, Craig Macdonald, Ben He, Iadh Ounis. In Proceedings of CIKM 2009. |
| [Pdf] |
Comparing Distributed Indexing: To MapReduce or Not? Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proceedings of LSDS Workshop at SIGIR 2009. |
| [Acm] |
Is Spam an Issue for Opinionated Blog Post Search? Craig Macdonald, Iadh Ounis and Ian Soboroff. In Proceedings of SIGIR 2009. |
| [Acm] |
On Perfect Document Rankings for Expert Search. Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2009. |
| [Acm] |
On Single-Pass Indexing with MapReduce. Richard McCreadie, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2009. |
| [Acm] |
Usefulness of Click-through data in Expert Search. Craig Macdonald and Ryen White. In Proceedings of SIGIR 2009. |
| [Acm] |
Expertise Search in Academia using Facets. Duncan McDougall and Craig Macdonald. In Proceedings of SIGIR 2009. |
| [Pdf] |
The Voting Model for People Search (extended abstract) Craig Macdonald. SIGIR Forum, Volume 43 Number 1, June 2009, page 75. |
| [Lib] [Pdf] |
The Voting Model for People Search Craig Macdonald. PhD thesis, Department of Computing Science, Univeristy of Glasgow, 2009. |
| [Doi] |
Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. Rodrygo L.T. Santos, Ben He, Craig Macdonald, and Iadh Ounis. In Proceedings of ECIR 2009. |
| [Acm] |
Usefulness of Quality Click-through Data for Training. Craig Macdonald and Iadh Ounis. In Proceedings of WSCD09 Workshop at WSDM 2009. |
| 2008 | |
| [Acm] |
Key Blog Distillation: Ranking Aggregates. Craig Macdonald and Iadh Ounis. In Proceedings of CIKM 2008. |
| [Acm] |
An Effective Statistical Approach to Blog Post Opinion Retrieval. Ben He, Craig Macdonald Jiyin He, and Iadh Ounis. In Proceedings of CIKM 2008. |
| [Acm] |
Retrieval Sensitivity Under Training Using Different Measures. Ben He, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2008. |
| [Acm] |
Ranking Opinionated Blog Posts using OpinionFinder. Ben He, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2008. |
| [Acm] |
Limits of Opinion-Finding Baseline Systems. Craig Macdonald, Ben He, Iadh Ounis and Ian Soboroff. In Proceedings of SIGIR 2008. |
| [Acm] |
Automatic Document Prior Feature Selection for Web Retrieval. Jie Peng, Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR 2008. |
| [Pdf] |
Efficiency Comparison of Document Matching Techniques. Patrice Lacour, Craig Macdonald and Iadh Ounis. In Proceedings of Efficiency Issues in Information Retrieval Workshop at ECIR 2008. |
| [Pdf] [Video] |
On the TREC Blog track Iadh Ounis, Craig Macdonald and Ian Soboroff. In Proceedings of ICWSM 2008. AAAI. |
| [Doi] |
High Quality Expertise Evidence for Expert Search Craig Macdonald, David Hannah and Iadh Ounis. In Proceedings of ECIR 2008. Springer LNCS 4956. |
| [Doi] |
Expert Search Evaluation by Supporting Documents Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2008. Springer LNCS 4956. |
| [Doi] |
Analysis of Link Graph Compression Techniques David Hannah, Craig Macdonald and Iadh Ounis. In Proceedings of ECIR 2008. Springer LNCS 4956. |
| [Pdf] [Abstract] |
Searching for Expertise: Experiments with the Voting Model. Craig Macdonald and Iadh Ounis. In Special Issue of the Computer Journal on Expertise Profiling. 2008; doi: 10.1093/comjnl/bxm112 |
| [Pdf] |
Overview of the TREC-2007 Blog Track. Craig Macdonald, Iadh Ounis and Ian Soboroff. In Proceedings of Text REtrieval Conference 2007. NIST Special Publication. 2008, NIST, Gaithersburg, MD, USA. |
| [Pdf] |
University of Glasgow at TREC2007: Experiments in Blog and Enterprise tracks with Terrier. David Hannah, Craig Macdonald, Jie Peng, Ben He and Iadh Ounis. In Proceedings of Text REtrieval Conference 2007. NIST Special Publication. 2008, NIST, Gaithersburg, MD, USA. |
| [Doi] |
Voting Techniques for Expert Search. Craig Macdonald and Iadh Ounis. In Knowledge and Information Systems Journal. 2008. 16:259--280. |
| 2007 | |
| [Pdf] | A Belief Network Model for Expert Search Craig Macdonald and Iadh Ounis. In Studies in Theory of Information Retrieval, Proceedings of 1st conference on Theory of Information Retrieval (ICTIR). Alma Mater ISBN 9630632372. 18th - 20th October 2007, Budapest, Hungary. |
| [Acm] | Expertise Drift and Query Expansion in Expert Search Craig Macdonald and Iadh Ounis. In Proceedings of ACM CIKM'07. November 2007, Lisbon, Portugal. |
| [Pdf] [Slides] |
Terrier takes on the non-English Web Craig Macdonald, Christina Lioma and Iadh Ounis. In Proceedings of iNEWS'07 SIGIR Workshop. 2007. |
| [Pdf] |
Clickthrough based measures of search engine performance. Erik Graf, Craig Macdonald and Iadh Ounis. In Proceedings of WISI'07 SIGIR Workshop. 2007. |
| [Pdf] |
Research Directions in Terrier: a Search Engine for Advanced Retrieval on the Web. Iadh Ounis, Christina Lioma, Craig Macdonald, and Vassilis Plachouras In CEPIS Upgrade Journal 8(1), Next Generation Web Search, February 2007. |
| [Acm] |
Incorporating Term Dependency in the DFR Framework. Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis. In Proceedings of SIGIR 2007. July 2007. Amsterdam, the Netherlands. 2007. |
| [Pdf] |
Combination of Document Priors in Web Information Retrieval. Jie Peng, Craig Macdonald, Ben He, Iadh Ounis. In Proceedings of RIAO 2007. May 2007. Pittsburgh, PA, USA. 2007. |
| [SpringerLink] | Using Relevance Feedback in Expert Search Craig Macdonald and Iadh Ounis. In Proceedings of 29th European Conference on Information Retrieval (ECIR'07). April 2007. Springer LNCS 4425, pages 431--443. Rome, Italy. 2007. |
| [Pdf] |
Overview of the TREC-2006 Blog Track. Iadh Ounis, Maarten de Rijke, Craig Macdonald, Gilad Mishne and Ian Soboroff. In Proceedings of Text REtrieval Conference 2006. NIST Special Publication. 2007, NIST, Gaithersburg, MD, USA. |
| [Pdf] |
University of Glasgow at TREC2006: Experiments in Terabyte and Enterprise tracks with Terrier. Christina Lioma, Craig Macdonald, Vassilis Plachouras, Jie Peng, Ben He and Iadh Ounis. In Proceedings of Text REtrieval Conference 2006. NIST Special Publication. 2007, NIST, Gaithersburg, MD, USA. |
| 2006 | |
| [Abstract] [Pdf] | The TREC Blogs06 Collection : Creating and Analysing a Blog Test Collection Craig Macdonald and Iadh Ounis. DCS Technical Report TR-2006-224. Department of Computing Science, University of Glasgow. 2006. |
| [Abstract] [Acm] [Pdf] | Voting for Candidates: Adapting Data Fusion Techniques for an Expert Search Task Craig Macdonald and Iadh Ounis. In Proceedings of ACM CIKM'06. November 2006, Arlington Virginia, USA. |
| [Pdf] | Terrier: A High Performance and Scalable Information Retrieval Platform. Iadh Ounis, Gianni Amati, Vassilis Plachouras, Ben He, Craig Macdonald and Christina Lioma. In Proceedings of ACM SIGIR'06 Workshop on Open Source Information Retrieval (OSIR 2006). 10th August, 2006. Seattle, Washington, USA. |
| [Acm] |
Searching for expertise using the terrier platform. Craig Macdonald, Iadh Ounis. In Proceedings of SIGIR'06. August, 2006. Seattle, Washington, USA. |
| [Acm] |
Combining Fields in Known-Item Email Search. Craig Macdonald and Iadh Ounis. In Proceedings of SIGIR'06. August, 2006. Seattle, Washington, USA. |
| [Pdf] |
University of Glasgow at TREC2005: Experiments in Terabyte and Enterprise tracks with Terrier. Craig Macdonald, Vassilis Plachouras, Ben He and Iadh Ounis. In Proceedings of Text REtrieval Conference 2005. NIST Special Publication. 2006, NIST, Gaithersburg, MD, USA. |
| 2005 | |
| [Working Notes] [SpringerLink] |
University of Glasgow at WebCLEF 2005: Experiments in per-field normalisation and language specific stemming. Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma and Iadh Ounis. In Accessing Multilingual Information Repositories: 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005, Vienna, Austria, Revised Selected Papers. Carol Peters, Fredric C. Gey, Julio Gonzalo, Gareth J.F. Jones, Michael Kluck, Bernardo Magnini, Henning Muller, Maarten de Rijke (Eds.). Series: Lecture Notes in Computer Science, Vol. 4022. |
| [Working Notes] |
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval Christina Lioma, Craig Macdonald, Vassilis Plachouras, Ben He and Iadh Ounis. In Accessing Multilingual Information Repositories: 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005, Vienna, Austria, Revised Selected Papers. Carol Peters, Fredric C. Gey, Julio Gonzalo, Gareth J.F. Jones, Michael Kluck, Bernardo Magnini, Henning Muller, Maarten de Rijke (Eds.). Series: Lecture Notes in Computer Science, Vol. 4022. |
| [Pdf] |
Predicting Query Performance in Intranet Search. Craig Macdonald, Ben He, Iadh Ounis. In Proceedings of ACM SIGIR'05 Query Prediction Workshop. August 19, 2005, Salvador, Brazil. |
| [Pdf] [SpringerLink] |
Terrier Information Retrieval Platform. Iadh Ounis, Gianni Amati, Vassilis Plachouras, Ben He, Craig Macdonald and Douglas Johnson. In Proceedings of the 27th European Conference on Information Retrieval (ECIR 05). Test-of-Time Honourable Mention. |