| 2026 | ACL | SPARKLE: A Structured and Plug-and-play Agentic Retrieval Policy for Adaptive RAG Models. | Jinyuan Fang, Zaiqiao Meng, Craig Macdonald |
| 2026 | ECIR | Revealing MonoT5s Learning Mechanisms via Prompt-Token Adaptation. | Marco Braga, Sean MacAvaney, Craig Macdonald, Gabriella Pasi |
| 2026 | ECIR | Pipeline Inspection, Visualization, and Interoperability in PyTerrier. | Emmanouil Georgios Lionis, Craig Macdonald, Sean MacAvaney |
| 2026 | ECIR | Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation. | Fangzheng Tian, Debasis Ganguly, Craig Macdonald |
| 2026 | SIGIR | Retrieve, Rerank, Answer, Experiment: Hands-On IR Research with PyTerrier. | Craig Macdonald, Sean MacAvaney, Nicola Tonellotto, Xiao Wang |
| 2026 | SIGIR | A Replicability Study of Joint Product Quantisation for Effective Space-Efficient Dense Retrieval. | Craig Macdonald, Zhlli Shen, Nicola Tonellotto |
| 2026 | SIGIR | A Sensitivity-Aware Test Collection for Search Among Personal Information. | Jack McKechnie, Graham McDonald, Craig Macdonald |
| 2026 | SIGIR | PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID. | Xiao Wang, Sean MacAvaney, Craig Macdonald |
| 2025 | ECIR | Context Example Selection for LLM Generated Relevance Assessments. | Jack McKechnie, Graham McDonald, Craig Macdonald |
| 2025 | ECIR | Semantically Proportioned nDCG for Explaining ColBERT's Learning Process. | Ariane Mueller, Craig Macdonald |
| 2025 | ECIR | Is Relevance Propagated from Retriever to Generator in RAG? | Fangzheng Tian, Debasis Ganguly, Craig Macdonald |
| 2025 | RecSys | Balancing Accuracy and Novelty with Sub-Item Popularity. | Chiara Mallamaci, Aleksandr V. Petrov, Alberto Carlo Maria Mancino, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald |
| 2025 | SIGIR | Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. | Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng |
| 2025 | SIGIR | Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems. | Jack McKechnie, Graham McDonald, Craig Macdonald |
| 2025 | SIGIR | Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. | Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto |
| 2024 | ECIR | Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. | Erlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2024 | ECIR | Knowledge Graph Cross-View Contrastive Learning for Recommendation. | Zeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi |
| 2024 | ECIR | Transformers for Sequential Recommendation. | Aleksandr V. Petrov, Craig Macdonald |
| 2024 | ECIR | Shallow Cross-Encoders for Low-Latency Retrieval. | Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald |
| 2024 | IJCAI | gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). | Aleksandr V. Petrov, Craig Macdonald |
| 2024 | ICTIR | Coherence-based Query Performance Measures for Dense Retrieval. | Maria Vlachou, Craig Macdonald |
| 2024 | RecSys | Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. | Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto |
| 2024 | SIGIR | Neural Passage Quality Estimation for Static Pruning. | Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney |
| 2024 | SIGIR | Bi-Objective Negative Sampling for Sensitivity-Aware Search. | Jack McKechnie, Graham McDonald, Craig Macdonald |
| 2024 | WSDM | RecJPQ: Training Large-Catalogue Sequential Recommenders. | Aleksandr V. Petrov, Craig Macdonald |
| 2023 | ACL | Effective Contrastive Weighting for Dense Query Expansion. | Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2023 | CIKM | KGPR: Knowledge Graph Enhanced Passage Ranking. | Jinyuan Fang, Zaiqiao Meng, Craig Macdonald |
| 2023 | DocEng | Static Pruning for Multi-Representation Dense Retrieval. | Antonio Acquavia, Craig Macdonald, Nicola Tonellotto |
| 2023 | ECIR | Doc2Query-: When Less is More. | Mitko Gospodinov, Sean MacAvaney, Craig Macdonald |
| 2023 | ECIR | Graph Contrastive Learning with Positional Representation for Recommendation. | Zixuan Yi, Iadh Ounis, Craig Macdonald |
| 2023 | RecSys | Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. | Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2023 | SIGIR | Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. | Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2022 | CIKM | Adaptive Re-Ranking with a Corpus Graph. | Sean MacAvaney, Nicola Tonellotto, Craig Macdonald |
| 2022 | CIKM | Adaptive Re-Ranking as an Information-Seeking Agent. | Sean MacAvaney, Nicola Tonellotto, Craig Macdonald |
| 2022 | ECIR | Reproducing Personalised Session Search Over the AOL Query Log. | Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2022 | ECIR | Streamlining Evaluation with ir-measures. | Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2022 | ECIR | Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. | Xi Wang, Iadh Ounis, Craig Macdonald |
| 2022 | EMNLP | monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering. | Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis |
| 2022 | RecSys | Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. | Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2022 | RecSys | Effective and Efficient Training for Sequential Recommendation using Recency Sampling. | Aleksandr V. Petrov, Craig Macdonald |
| 2022 | RecSys | A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. | Aleksandr V. Petrov, Craig Macdonald |
| 2022 | RecSys | Performance Predictors for Conversational Fashion Recommendation. | Maria Vlachou, Craig Macdonald |
| 2022 | SIGIR | An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. | Siwei Liu, Iadh Ounis, Craig Macdonald |
| 2022 | SIGIR | A Python Interface to PISA! | Sean MacAvaney, Craig Macdonald |
| 2022 | SIGIR | An Inspection of the Reproducibility and Replicability of TCT-ColBERT. | Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2021 | CIKM | On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. | Craig Macdonald, Nicola Tonellotto |
| 2021 | CIKM | IR From Bag-of-words to BERT and Beyond through Practical Experiments. | Craig Macdonald, Nicola Tonellotto, Sean MacAvaney |
| 2021 | CIKM | PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. | Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis |
| 2021 | CIKM | Query Embedding Pruning for Dense Retrieval. | Nicola Tonellotto, Craig Macdonald |
| 2021 | ICTIR | Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. | Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2021 | RecSys | Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. | Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2021 | WWW | Leveraging Review Properties for Effective Recommendation. | Xi Wang, Iadh Ounis, Craig Macdonald |
| 2021 | SIGIR | Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. | Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2020 | ECIR | Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. | Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells |
| 2020 | ICTIR | Declarative Experimentation in Information Retrieval using PyTerrier. | Craig Macdonald, Nicola Tonellotto |
| 2020 | ICTIR | A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. | Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2020 | RecSys | Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. | Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2020 | RecSys | BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. | Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang |
| 2020 | SIGIR | Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. | Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis |
| 2020 | SIGIR | Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. | Jimmy Lin, Joel M. Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, Arjen P. de Vries |
| 2020 | SIGIR | A Heterogeneous Graph Neural Model for Cold-start Recommendation. | Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng |
| 2020 | SIGIR | Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. | Graham McDonald, Craig Macdonald, Iadh Ounis |
| 2019 | CHIIR | How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. | Graham McDonald, Craig Macdonald, Iadh Ounis |
| 2019 | ECIR | On Cross-Domain Transfer in Venue Recommendation. | Jarana Manotumruksa, Dimitrios Rafailidis, Craig Macdonald, Iadh Ounis |
| 2019 | ECIR | Evaluating Similarity Metrics for Latent Twitter Topics. | Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald |
| 2019 | ECIR | Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. | Xi Wang, Iadh Ounis, Craig Macdonald |
| 2019 | SIGIR | Dockerising Terrier for The Open-Source IR Replicability Challenge (OSIRRC 2019). | Arthur Barbosa Cmara, Craig Macdonald |
| 2019 | SIGIR | Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. | Ting Su, Craig Macdonald, Iadh Ounis |
| 2018 | BigData | BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations. | Dimosthenis Kyriazis, Christos Doulkeridis, Panagiotis Gouvas, Ricardo Jimnez-Peris, Ana Juan Ferrer, Leonidas Kallipolitis, Pavlos Kranas, George Kousiouris, Craig Macdonald, Richard McCreadie, Yosef Moatti, Apostolos Papageorgiou, Marta Patio-Martnez, Stathis Plitsos, Dimitrios Poulopoulos, Antonio Paradell, Amaryllis Raouzaiou, Paula Ta-Shma, Valerio Vianello |
| 2018 | CIKM | Learning to Geolocalise Tweets at a Fine-Grained Level. | Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, Iadh Ounis |
| 2018 | ECIR | On the Cost of Negation for Dynamic Pruning. | Joel M. Mackenzie, Craig Macdonald, Falk Scholer, J. Shane Culpepper |
| 2018 | ECIR | Active Learning Strategies for Technology Assisted Sensitivity Review. | Graham McDonald, Craig Macdonald, Iadh Ounis |
| 2018 | ECIR | Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. | Graham McDonald, Craig Macdonald, Iadh Ounis |
| 2018 | ECIR | On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. | Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2018 | ECIR | On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. | Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang |
| 2018 | SIGIR | Combining Terrier with Apache Spark to create Agile Experimental Information Retrieval Pipelines. | Craig Macdonald |
| 2018 | SIGIR | A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation. | Jarana Manotumruksa, Craig Macdonald, Iadh Ounis |
| 2018 | SIGIR | Automatic Ground Truth Expansion for Timeline Evaluation. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2018 | SIGIR | Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. | Nicola Tonellotto, Craig Macdonald |
| 2017 | CIKM | A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation. | Jarana Manotumruksa, Craig Macdonald, Iadh Ounis |
| 2017 | CIKM | A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation. | Jarana Manotumruksa, Craig Macdonald, Iadh Ounis |
| 2017 | ECIR | Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel, Xiao Yang |
| 2017 | ECIR | Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks. | Jarana Manotumruksa, Craig Macdonald, Iadh Ounis |
| 2017 | ECIR | Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings. | Graham McDonald, Craig Macdonald, Iadh Ounis |
| 2017 | ICTIR | On the Additivity and Weak Baselines for Search Result Diversification Research. | Mehmet Akcay, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis |
| 2017 | ICTIR | Upper Bound Approximation for BlockMaxWand. | Craig Macdonald, Nicola Tonellotto |
| 2017 | SIGIR | A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. | Graham McDonald, Nicols Garca-Pedrajas, Craig Macdonald, Iadh Ounis |
| 2016 | ECIR | Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel |
| 2016 | ECIR | Experiments in Newswire Summarisation. | Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2016 | SIGIR | Risk-Sensitive Evaluation and Learning to Rank using Multiple Baselines. | Bekir Taner Diner, Craig Macdonald, Iadh Ounis |
| 2016 | SIGIR | Examining the Coherence of the Top Ranked Tweet Topics. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel |
| 2016 | SIGIR | Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel |
| 2016 | SIGIR | EAIMS: Emergency Analysis Identification and Management System. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2016 | SIGIR | Enhancing First Story Detection using Word Embeddings. | Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2015 | CIKM | Semi-Automated Text Classification for Sensitivity Identification. | Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, Fabrizio Sebastiani |
| 2015 | CIKM | Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion. | Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis |
| 2015 | CIKM | Generalized Team Draft Interleaving. | Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis |
| 2015 | CIKM | Modelling the Usefulness of Document Collections for Query Expansion in Patient Search. | Nut Limsopatham, Craig Macdonald, Iadh Ounis |
| 2015 | CIKM | UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics. | Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah |
| 2015 | CP | Constructing Sailing Match Race Schedules: Round-Robin Pairing Lists. | Craig Macdonald, Ciaran McCreesh, Alice Miller, Patrick Prosser |
| 2015 | ICTIR | Transferring Learning To Rank Models for Web Search. | Craig Macdonald, Bekir Taner Diner, Iadh Ounis |
| 2015 | ICTIR | Using Part-of-Speech N-grams for Sensitive-Text Classification. | Graham McDonald, Craig Macdonald, Iadh Ounis |
| 2015 | ICWSM | Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. | Graham McDonald, Romain Deveaud, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2015 | RecSys | Analysing Compression Techniques for In-Memory Collaborative Filtering. | Sal Vargas, Craig Macdonald, Iadh Ounis |
| 2015 | WWW | SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies. | Richard McCreadie, Karolin Kappler, Andreas Kaltenbrunner, Magdalini Kardara, Craig Macdonald, John Soldatos, Iadh Ounis |
| 2015 | WWW | Crowdsourced Rumour Identification During Emergencies. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2015 | SIGIR | Using Sensor Metadata Streams to Identify Topics of Local Events in the City. | M-Dyaa Albakour, Craig Macdonald, Iadh Ounis |
| 2015 | SIGIR | Load-sensitive CPU Power Management for Web Search Engines. | Matteo Catena, Craig Macdonald, Nicola Tonellotto |
| 2015 | SIGIR | Topic-centric Classification of Twitter User's Political Orientation. | Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham |
| 2015 | SIGIR | Optimised Scheduling of Online Experiments. | Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis |
| 2015 | SIGIR | Sequential Testing for Early Stopping of Online Experiments. | Eugene Kharitonov, Aleksandr Vorobev, Craig Macdonald, Pavel Serdyukov, Iadh Ounis |
| 2015 | SIGIR | Comparing Approaches for Query Autocompletion. | Giovanni Di Santo, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2014 | ACL | Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. | Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lnen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien |
| 2014 | CIKM | SmartVenues: Recommending Popular and Personalised Venues in a City. | Romain Deveaud, M-Dyaa Albakour, Jarana Manotumruksa, Craig Macdonald, Iadh Ounis |
| 2014 | CIKM | On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions. | Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis |
| 2014 | CIKM | Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients. | Nut Limsopatham, Craig Macdonald, Iadh Ounis |
| 2014 | CIKM | Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2014 | ECIR | Information Access in Smart Cities (i-ASC). | M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Bicer |
| 2014 | ECIR | On Inverted Index Compression for Search Engine Efficiency. | Matteo Catena, Craig Macdonald, Iadh Ounis |
| 2014 | ECIR | Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems. | Bekir Taner Diner, Iadh Ounis, Craig Macdonald |
| 2014 | ECIR | Towards a Classifier for Digital Sensitivity Review. | Graham McDonald, Craig Macdonald, Iadh Ounis, Timothy Gollins |
| 2014 | SIGIR | Hypothesis testing for the risk-sensitive evaluation of retrieval systems. | Bekir Taner Diner, Craig Macdonald, Iadh Ounis |
| 2014 | SIGIR | On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. | Timothy Gollins, Graham McDonald, Craig Macdonald, Iadh Ounis |
| 2014 | WSDM | Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). | Ismail Sengr Altingvde, Berkant Barla Cambazoglu, Craig Macdonald, Nicola Tonellotto |
| 2014 | WSDM | A self-adapting latency/power tradeoff model for replicated search engines. | Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda |
| 2013 | CIKM | On sparsity and drift for effective real-time filtering in microblogs. | M-Dyaa Albakour, Craig Macdonald, Iadh Ounis |
| 2013 | CIKM | Load-sensitive selective pruning for distributed search. | Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto |
| 2013 | CIKM | Using historical click data to increase interleaving sensitivity. | Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis |
| 2013 | CIKM | Intent models for contextualising and diversifying query suggestions. | Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis |
| 2013 | CIKM | Learning to handle negated language in medical records search. | Nut Limsopatham, Craig Macdonald, Iadh Ounis |
| 2013 | CIKM | Learning to selectively rank patients' medical history. | Nut Limsopatham, Craig Macdonald, Iadh Ounis |
| 2013 | ECIR | Hybrid Query Scheduling for a Replicated Search Engine. | Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda |
| 2013 | ECIR | Aggregating Evidence from Hospital Departments to Improve Medical Records Search. | Nut Limsopatham, Craig Macdonald, Iadh Ounis |
| 2013 | ECIR | A Task-Specific Query and Document Representation for Medical Records Search. | Nut Limsopatham, Craig Macdonald, Iadh Ounis |
| 2013 | ICWSM | Can Twitter Replace Newswire for Breaking News? | Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, Luke Shrimpton |
| 2013 | SIGIR | User model-based metrics for offline query suggestion evaluation. | Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis |
| 2013 | SIGIR | Learning to combine representations for medical records search. | Nut Limsopatham, Craig Macdonald, Iadh Ounis |
| 2013 | SIGIR | News vertical search: when and what to display to users. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2013 | WSDM | Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013). | Nicola Tonellotto, Craig Macdonald, Ismail Sengr Altingvde |
| 2013 | WSDM | Efficient and effective retrieval using selective pruning. | Nicola Tonellotto, Craig Macdonald, Iadh Ounis |
| 2013 | SPIRE | Query Processing in Highly-Loaded Search Engines. | Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto |
| 2012 | CIKM | On the usefulness of query features for learning to rank. | Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis |
| 2012 | CIKM | An examination of content farms in web search using crowdsourcing. | Richard McCreadie, Craig Macdonald, Iadh Ounis, Jim Giles, Ferris Jabr |
| 2012 | ICWSM | Evaluating Real-Time Search over Tweets. | Dean McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie |
| 2012 | WWW | Multimedia search over integrated social and sensor networks. | John Soldatos, Moez Draief, Craig Macdonald, Iadh Ounis |
| 2012 | SIGIR | SMART: An Open Source Framework for Searching the Physical World. | M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Aristodemos Pnevmatikakis, John Soldatos |
| 2012 | SIGIR | Scheduling queries across replicas. | Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda |
| 2012 | SIGIR | Exploiting term dependence while handling negation in medical search. | Nut Limsopatham, Craig Macdonald, Richard McCreadie, Iadh Ounis |
| 2012 | SIGIR | From Puppy to Maturity: Experiences in Developing Terrier. | Craig Macdonald, Richard McCreadie, Rodrygo L. T. Santos, Iadh Ounis |
| 2012 | SIGIR | Learning to predict response times for online query scheduling. | Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2012 | SIGIR | Effect of dynamic pruning safety on learning to rank effectiveness. | Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2012 | SIGIR | CrowdTerrier: automatic crowdsourced relevance assessments with terrier. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2012 | SIGIR | On building a reusable Twitter corpus. | Richard McCreadie, Ian Soboroff, Jimmy Lin, Craig Macdonald, Iadh Ounis, Dean McCullough |
| 2012 | WSDM | 2nd international workshop on diversity in document retrieval (DDR 2012). | Craig Macdonald, Jun Wang, Charles L. A. Clarke |
| 2011 | CIKM | Effectiveness beyond the first crawl tier. | Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2011 | ECIR | Learning Models for Ranking Aggregates. | Craig Macdonald, Iadh Ounis |
| 2011 | ICTIR | Protocol-Driven Searches for Medical and Health-Sciences Systematic Reviews. | Matt-Mouley Bouamrane, Craig Macdonald, Iadh Ounis, Frances S. Mair |
| 2011 | ICTIR | On Upper Bounds for Dynamic Pruning. | Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2011 | ICTIR | Aggregated Search Result Diversification. | Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2011 | NLDB | Combining Textual Content and Hyperlinks in Web Spam Detection. | F. Javier Ortega, Craig Macdonald, Jos A. Troyano, Fermn L. Cruz, Fernando Enrquez |
| 2011 | SIGIR | Disambiguating biomedical acronyms using EMIM. | Nut Limsopatham, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2011 | SIGIR | Intent-aware search result diversification. | Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2011 | SIGIR | On the suitability of diversity metrics for learning-to-rank for diversity. | Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2011 | SIGIR | How diverse are web search results? | Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2011 | SIGIR | Effect of different docid orderings on dynamic pruning retrieval strategies. | Nicola Tonellotto, Craig Macdonald, Iadh Ounis |
| 2011 | SPIRE | Sparse Spatial Selection for Novelty-Based Search Result Diversification. | Veronica Gil-Costa, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2011 | SPIRE | A Learned Approach for Ranking News in Real-Time Using the Blogosphere. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2010 | CIKM | Spam detection with a content-based random-walk algorithm. | F. Javier Ortega, Craig Macdonald, Jos A. Troyano, Fermn L. Cruz |
| 2010 | CIKM | Selectively diversifying web search results. | Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2010 | ECIR | Learning to Select a Ranking Function. | Jie Peng, Craig Macdonald, Iadh Ounis |
| 2010 | ECIR | Explicit Search Result Diversification through Sub-queries. | Rodrygo L. T. Santos, Jie Peng, Craig Macdonald, Iadh Ounis |
| 2010 | WWW | Exploiting query reformulations for web search result diversification. | Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2010 | SIGIR | Efficient Dynamic Pruning with Proximity Support. | Nicola Tonellotto, Craig Macdonald, Iadh Ounis |
| 2009 | CIKM | The influence of the document ranking in expert search. | Craig Macdonald, Iadh Ounis |
| 2009 | CIKM | A study of selective collection enrichment for enterprise search. | Jie Peng, Craig Macdonald, Ben He, Iadh Ounis |
| 2009 | ECIR | Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. | Rodrygo L. T. Santos, Ben He, Craig Macdonald, Iadh Ounis |
| 2009 | SIGIR | On perfect document rankings for expert search. | Craig Macdonald, Iadh Ounis |
| 2009 | SIGIR | Is spam an issue for opinionated blog post search? | Craig Macdonald, Iadh Ounis, Ian Soboroff |
| 2009 | SIGIR | Usefulness of click-through data in expert search. | Craig Macdonald, Ryen W. White |
| 2009 | SIGIR | On single-pass indexing with MapReduce. | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2009 | SIGIR | Comparing Distributed Indexing: To MapReduce or Not? | Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2009 | SIGIR | Expertise search in academia using facets. | Duncan McDougall, Craig Macdonald |
| 2009 | WSDM | Usefulness of quality click-through data for training. | Craig Macdonald, Iadh Ounis |
| 2008 | CIKM | An effective statistical approach to blog post opinion retrieval. | Ben He, Craig Macdonald, Jiyin He, Iadh Ounis |
| 2008 | CIKM | Key blog distillation: ranking aggregates. | Craig Macdonald, Iadh Ounis |
| 2008 | ECIR | Analysis of Link Graph Compression Techniques. | David Hannah, Craig Macdonald, Iadh Ounis |
| 2008 | ECIR | High Quality Expertise Evidence for Expert Search. | Craig Macdonald, David Hannah, Iadh Ounis |
| 2008 | ECIR | Expert Search Evaluation by Supporting Documents. | Craig Macdonald, Iadh Ounis |
| 2008 | ICWSM | On the TREC Blog Track. | Iadh Ounis, Craig Macdonald, Ian Soboroff |
| 2008 | SIGIR | Retrieval sensitivity under training using different measures. | Ben He, Craig Macdonald, Iadh Ounis |
| 2008 | SIGIR | Ranking opinionated blog posts using OpinionFinder. | Ben He, Craig Macdonald, Iadh Ounis |
| 2008 | SIGIR | Limits of opinion-finding baseline systems. | Craig Macdonald, Ben He, Iadh Ounis, Ian Soboroff |
| 2008 | SIGIR | Automatic document prior feature selection for web retrieval. | Jie Peng, Craig Macdonald, Iadh Ounis |
| 2007 | CIKM | Expertise drift and query expansion in expert search. | Craig Macdonald, Iadh Ounis |
| 2007 | ECIR | Using Relevance Feedback in Expert Search. | Craig Macdonald, Iadh Ounis |
| 2007 | SIGIR | Incorporating term dependency in the dfr framework. | Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis |
| 2006 | CIKM | Voting for candidates: adapting data fusion techniques for an expert search task. | Craig Macdonald, Iadh Ounis |
| 2006 | SIGIR | Combining fields in known-item email search. | Craig Macdonald, Iadh Ounis |
| 2006 | SIGIR | Searching for expertise using the terrier platform. | Craig Macdonald, Iadh Ounis |
| 2005 | ECIR | Terrier Information Retrieval Platform. | Iadh Ounis, Gianni Amati, Vassilis Plachouras, Ben He, Craig Macdonald, Douglas Johnson |