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- affiliation: University of Glasgow, UK
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2020 – today
- 2020
[j46]Javier Sanz-Cruzado
, Pablo Castells, Craig Macdonald, Iadh Ounis:
Effective contact recommendation in social networks by adaptation of information retrieval models. Inf. Process. Manag. 57(5): 102285 (2020)- [j45]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Contextual Recurrent Collaborative Filtering framework for modelling sequences of venue checkins. Inf. Process. Manag. 57(6): 102092 (2020) - [j44]Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Özgür Ulusoy:
Supervised approaches for explicit search result diversification. Inf. Process. Manag. 57(6): 102356 (2020) - [j43]Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis:
Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. 38(2): 16:1-16:32 (2020) - [c251]Xi Wang, Iadh Ounis, Craig MacDonald:
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CIKM 2020: 1565-1574 - [c250]Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells:
Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. ECIR (1) 2020: 175-190 - [c249]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. ICTIR 2020: 89-96 - [c248]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang:
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys 2020: 588-590 - [c247]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys 2020: 681-686 - [c246]Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. SIGIR 2020: 2025-2028 - [c245]Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng:
A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR 2020: 2029-2032 - [c244]Graham McDonald, Craig Macdonald, Iadh Ounis:
Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. SIGIR 2020: 2053-2056 - [c243]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. SIGIR 2020: 2161-2164 - [i10]Xiao Wang, Craig Macdonald, Iadh Ounis:
Deep Reinforced Query Reformulation for Information Retrieval. CoRR abs/2007.07987 (2020) - [i9]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR abs/2007.13237 (2020) - [i8]Xi Wang, Iadh Ounis, Craig Macdonald:
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CoRR abs/2008.06487 (2020)
2010 – 2019
- 2019
- [j42]Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times:
Event attendance classification in social media. Inf. Process. Manag. 56(3): 687-703 (2019) - [j41]Richard McCreadie, Shahzad Rajput, Ian Soboroff, Craig Macdonald, Iadh Ounis:
On enhancing the robustness of timeline summarization test collections. Inf. Process. Manag. 56(5): 1815-1836 (2019) - [c242]Graham McDonald, Craig Macdonald, Iadh Ounis:
How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. CHIIR 2019: 337-341 - [c241]Ting Su, Craig Macdonald, Iadh Ounis:
Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019. CLEF (Working Notes) 2019 - [c240]Xi Wang, Iadh Ounis, Craig Macdonald:
Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. ECIR (1) 2019: 215-228 - [c239]Jarana Manotumruksa, Dimitrios Rafailidis, Craig Macdonald, Iadh Ounis:
On Cross-Domain Transfer in Venue Recommendation. ECIR (1) 2019: 443-456 - [c238]Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald:
Evaluating Similarity Metrics for Latent Twitter Topics. ECIR (1) 2019: 787-794 - [c237]Siwei Liu, Iadh Ounis, Craig Macdonald:
Social Regularisation in a BPR-based Venue Recommendation System. FDIA@ESSIR 2019: 16-22 - [c236]Amir Hossein Jadidinejad, Craig MacDonald, Iadh Ounis:
Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. ICTIR 2019: 149-156 - [c235]Ting Su, Craig Macdonald, Iadh Ounis:
Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. SIGIR 2019: 893-896 - [c234]Charles Thomas, Richard McCreadie, Iadh Ounis:
Event Tracker: A Text Analytics Platform for Use During Disasters. SIGIR 2019: 1341-1344 - [c233]Graham McDonald, Iadh Ounis, Craig Macdonald, Thibaut Thonet, Jean-Michel Renders:
University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. TREC 2019 - [c232]Ting Su, Xi Wang, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track. TREC 2019 - [i7]Graham McDonald, Craig Macdonald, Iadh Ounis:
The FACTS of Technology-Assisted Sensitivity Review. CoRR abs/1907.02956 (2019) - [i6]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR abs/1909.07705 (2019) - 2018
- [j40]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Efficient Query Processing for Scalable Web Search. Found. Trends Inf. Retr. 12(4-5): 319-500 (2018) - [j39]Xiao Yang, Craig Macdonald, Iadh Ounis:
Using word embeddings in Twitter election classification. Inf. Retr. J. 21(2-3): 183-207 (2018) - [j38]Karin Sim Smith, Richard McCreadie, Craig MacDonald, Iadh Ounis:
Regional Sentiment Bias in Social Media Reporting During Crises. Inf. Syst. Frontiers 20(5): 1013-1025 (2018) - [j37]Richard McCreadie, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Explicit Diversification of Event Aspects for Temporal Summarization. ACM Trans. Inf. Syst. 36(3): 25:1-25:31 (2018) - [c231]Anjie Fang, Iadh Ounis, Craig MacDonald, Philip Habel, Xiaoyu Xiong, Haitao Yu:
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. CIKM 2018: 1547-1550 - [c230]Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, Iadh Ounis:
Learning to Geolocalise Tweets at a Fine-Grained Level. CIKM 2018: 1675-1678 - [c229]Craig Macdonald, Richard McCreadie, Iadh Ounis:
Agile Information Retrieval Experimentation with Terrier Notebooks. DESIRES 2018: 54-61 - [c228]Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang:
On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. ECIR 2018: 263-275 - [c227]Graham McDonald, Craig Macdonald, Iadh Ounis:
Active Learning Strategies for Technology Assisted Sensitivity Review. ECIR 2018: 439-453 - [c226]Graham McDonald, Craig Macdonald, Iadh Ounis:
Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. ECIR 2018: 699-706 - [c225]Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis:
On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. ECIR 2018: 765-772 - [c224]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation. SIGIR 2018: 555-564 - [c223]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Automatic Ground Truth Expansion for Timeline Evaluation. SIGIR 2018: 685-694 - [r4]Craig MacDonald, Iadh Ounis:
WEB Information Retrieval Models. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Iadh Ounis:
Inverse Document Frequency. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j36]Leif Azzopardi, Craig Macdonald, Iadh Ounis, Martin Halvey:
Report on the Information Retrieval Festival (IRFest2017). SIGIR Forum 51(1): 12-28 (2017) - [c222]Karin Sim Smith, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. ASONAM 2017: 317-320 - [c221]Xiao Yang, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Transfer Learning for Multi-language Twitter Election Classification. ASONAM 2017: 341-348 - [c220]Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times:
Exploring Social Media for Event Attendance. ASONAM 2017: 447-450 - [c219]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation. CIKM 2017: 1429-1438 - [c218]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation. CIKM 2017: 1469-1478 - [c217]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel, Xiao Yang:
Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. ECIR 2017: 252-265 - [c216]Graham McDonald, Craig Macdonald, Iadh Ounis:
Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings. ECIR 2017: 450-463 - [c215]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks. ECIR 2017: 647-654 - [c214]Mehmet Akcay, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis:
On the Additivity and Weak Baselines for Search Result Diversification Research. ICTIR 2017: 109-116 - [c213]Craig MacDonald, Nicola Tonellotto, Iadh Ounis:
Efficient & Effective Selective Query Rewriting with Efficiency Predictions. SIGIR 2017: 495-504 - [c212]Graham McDonald, Nicolás García-Pedrajas, Craig Macdonald, Iadh Ounis:
A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. SIGIR 2017: 1097-1100 - [i5]Nut Limsopatham, Craig MacDonald, Iadh Ounis:
Inferring Conceptual Relationships When Ranking Patients. CoRR abs/1702.00171 (2017) - 2016
- [c211]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
Regularising Factorised Models for Venue Recommendation using Friends and their Comments. CIKM 2016: 1981-1984 - [c210]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
Predicting Contextually Appropriate Venues in Location-Based Social Networks. CLEF 2016: 96-109 - [c209]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Experiments in Newswire Summarisation. ECIR 2016: 421-435 - [c208]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data. ECIR 2016: 492-504 - [c207]Saul Vargas, Richard McCreadie, Craig MacDonald, Iadh Ounis:
Comparing Overall and Targeted Sentiments in Social Media during Crises. ICWSM 2016: 695-698 - [c206]Richard Zanibbi, Akiko Aizawa, Michael Kohlhase, Iadh Ounis, Goran Topic, Kenny Davila:
NTCIR-12 MathIR Task Overview. NTCIR 2016 - [c205]Bekir Taner Dinçer, Craig Macdonald, Iadh Ounis:
Risk-Sensitive Evaluation and Learning to Rank using Multiple Baselines. SIGIR 2016: 483-492 - [c204]Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Enhancing First Story Detection using Word Embeddings. SIGIR 2016: 821-824 - [c203]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Examining the Coherence of the Top Ranked Tweet Topics. SIGIR 2016: 825-828 - [c202]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. SIGIR 2016: 1057-1060 - [c201]Richard McCreadie, Craig Macdonald, Iadh Ounis:
EAIMS: Emergency Analysis Identification and Management System. SIGIR 2016: 1101-1104 - [c200]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions. TREC 2016 - [i4]Xiao Yang, Craig MacDonald, Iadh Ounis:
Using Word Embeddings in Twitter Election Classification. CoRR abs/1606.07006 (2016) - [i3]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation. CoRR abs/1606.07828 (2016) - [i2]Richard McCreadie, Craig MacDonald, Iadh Ounis:
Emergency Identification and Analysis with EAIMS. CoRR abs/1610.04002 (2016) - 2015
- [j35]Rodrygo L. T. Santos, Craig MacDonald, Iadh Ounis:
Search Result Diversification. Found. Trends Inf. Retr. 9(1): 1-90 (2015) - [j34]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines. J. Univers. Comput. Sci. 21(13): 1790-1809 (2015) - [c199]Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion. CIKM 2015: 53-62 - [c198]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Generalized Team Draft Interleaving. CIKM 2015: 773-782 - [c197]Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, Fabrizio Sebastiani:
Semi-Automated Text Classification for Sensitivity Identification. CIKM 2015: 1711-1714 - [c196]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Modelling the Usefulness of Document Collections for Query Expansion in Patient Search. CIKM 2015: 1739-1742 - [c195]Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah:
UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics. CIKM 2015: 1955-1956 - [c194]Thibaut Thonet, Romain Deveaud, Iadh Ounis, Craig Macdonald:
Suggestion contextuelle composite. CORIA 2015: 89-104 - [c193]Anjie Fang, Iadh Ounis, Philip Habel, Craig MacDonald, Nut Limsopatham:
Topic-centric Classification of Twitter User's Political Orientation. FDIA 2015 - [c192]Craig Macdonald, Bekir Taner Dinçer, Iadh Ounis:
Transferring Learning To Rank Models for Web Search. ICTIR 2015: 41-50 - [c191]Graham McDonald, Craig Macdonald, Iadh Ounis:
Using Part-of-Speech N-grams for Sensitive-Text Classification. ICTIR 2015: 381-384 - [c190]Graham McDonald, Romain Deveaud, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. ICWSM 2015: 654-657 - [c189]Saúl Vargas, Craig Macdonald, Iadh Ounis:
Analysing Compression Techniques for In-Memory Collaborative Filtering. RecSys Posters 2015 - [c188]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Optimised Scheduling of Online Experiments. SIGIR 2015: 453-462 - [c187]Eugene Kharitonov, Aleksandr Vorobev, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Sequential Testing for Early Stopping of Online Experiments. SIGIR 2015: 473-482 - [c186]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
Using Sensor Metadata Streams to Identify Topics of Local Events in the City. SIGIR 2015: 711-714 - [c185]Giovanni Di Santo, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Comparing Approaches for Query Autocompletion. SIGIR 2015: 775-778 - [c184]Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham:
Topic-centric Classification of Twitter User's Political Orientation. SIGIR 2015: 791-794 - [c183]Richard McCreadie, Saul Vargas, Craig MacDonald, Iadh Ounis, Stuart Mackie, Jarana Manotumruksa, Graham McDonald:
University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. TREC 2015 - [c182]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Crowdsourced Rumour Identification During Emergencies. WWW (Companion Volume) 2015: 965-970 - [c181]Richard McCreadie, Karolin Kappler, Andreas Kaltenbrunner, Magdalini Kardara, Craig Macdonald, John Soldatos, Iadh Ounis:
SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies. WWW (Companion Volume) 2015: 1217-1220 - [e4]Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah:
Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics, UCUI 2015, Melbourne, Australia, October 19, 2015. ACM 2015, ISBN 978-1-4503-3786-1 [contents] - 2014
- [j33]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Bicer:
Report on the 1st International Workshop on Information Access in Smart Cities (i-ASC 2014). SIGIR Forum 48(2): 96-104 (2014) - [c180]Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lünen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien:
Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. ACL (System Demonstrations) 2014: 37-42 - [c179]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. CIKM 2014: 301-310 - [c178]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients. CIKM 2014: 1639-1648 - [c177]Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions. CIKM 2014: 1827-1830 - [c176]Romain Deveaud, M-Dyaa Albakour, Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
SmartVenues: Recommending Popular and Personalised Venues in a City. CIKM 2014: 2078-2080 - [c175]Richard McCreadie, Craig Macdonald, Iadh Ounis, Jon Brassey:
A Study of Personalised Medical Literature Search. CLEF 2014: 74-85 - [c174]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Comparing Algorithms for Microblog Summarisation. CLEF 2014: 153-159 - [c173]Graham McDonald, Romain Deveaud, Richard McCreadie, Timothy Gollins, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. CLEF (Working Notes) 2014: 1500-1504 - [c172]Iadh Ounis:
Drowning in Data: On Big Data Streams in IR for Detecting, Tracking and Summarising Events on Twitter. CORIA-CIFED 2014 - [c171]Bekir Taner Dinçer, Iadh Ounis, Craig Macdonald:
Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems. ECIR 2014: 26-38 - [c170]Edwin Thuma, Simon Rogers, Iadh Ounis:
Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System. ECIR 2014: 247-259 - [c169]Matteo Catena, Craig Macdonald, Iadh Ounis:
On Inverted Index Compression for Search Engine Efficiency. ECIR 2014: 359-371 - [c168]Graham McDonald, Craig Macdonald, Iadh Ounis, Timothy Gollins:
Towards a Classifier for Digital Sensitivity Review. ECIR 2014: 500-506 - [c167]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Bicer:
Information Access in Smart Cities (i-ASC). ECIR 2014: 810-814 - [c166]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis:
On choosing an effective automatic evaluation metric for microblog summarisation. IIiX 2014: 115-124 - [c165]M-Dyaa Albakour, Romain Deveaud, Craig Macdonald, Iadh Ounis:
Diversifying contextual suggestions from location-based social networks. IIiX 2014: 125-134 - [c164]Akiko Aizawa, Michael Kohlhase, Iadh Ounis, Moritz Schubotz:
NTCIR-11 Math-2 Task Overview. NTCIR 2014 - [c163]Bekir Taner Dinçer, Craig Macdonald, Iadh Ounis:
Hypothesis testing for the risk-sensitive evaluation of retrieval systems. SIGIR 2014: 23-32 - [c162]Timothy Gollins, Graham McDonald, Craig Macdonald, Iadh Ounis:
On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. PIR@SIGIR 2014: 39-40 - [c161]Richard McCreadie, Romain Deveaud, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Thibaut Thonet, Bekir Taner Dinçer:
University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC 2014 - [c160]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
A self-adapting latency/power tradeoff model for replicated search engines. WSDM 2014: 13-22 - 2013
- [j32]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Identifying top news using crowdsourcing. Inf. Retr. 16(2): 179-209 (2013) - [j31]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Learning to rank query suggestions for adhoc and diversity search. Inf. Retr. 16(4): 429-451 (2013) - [j30]Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis:
The whens and hows of learning to rank for web search. Inf. Retr. 16(5): 584-628 (2013) - [j29]Veronica Gil Costa, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Modelling efficient novelty-based search result diversification in metric spaces. J. Discrete Algorithms 18: 75-88 (2013) - [j28]Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis, Ben He:
About learning models with multiple query-dependent features. ACM Trans. Inf. Syst. 31(3): 11 (2013) - [c159]