Iadh Ounis

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 160

Top Venues

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Zixuan Yi, Iadh Ounis, Craig MacDonald
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Thomas Jänich, Graham McDonald, Iadh Ounis
Query Exposure Prediction for Groups of Documents in Rankings. CoRR (2024)
Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation. Inf. Process. Manag. 61 (2) (2024)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Effective Hierarchical Information Threading Using Network Community Detection. ECIR (1) (2023)
Xiao Wang, Craig MacDonald, Nicola Tonellotto, Iadh Ounis
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web 17 (1) (2023)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Identifying chronological and coherent information threads using 5W1H questions and temporal relationships. Inf. Process. Manag. 60 (3) (2023)
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR (2023)
Manish Chandra, Debasis Ganguly, Tulika Saha, Iadh Ounis
'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes. CIKM (2023)
Andreas Chari, Sean MacAvaney, Iadh Ounis
On the Effects of Regional Spelling Conventions in Retrieval Models. CoRR (2023)
Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie
Large Multi-modal Encoders for Recommendation. CoRR (2023)
Yaxiong Wu, Craig Macdonald, Iadh Ounis
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. RecSys (2023)
Jingmin Huang, Bowei Chen, Zhi Yan, Iadh Ounis, Jun Wang
GEO: A Computational Design Framework for Automotive Exterior Facelift. ACM Trans. Knowl. Discov. Data 17 (6) (2023)
Zixuan Yi, Iadh Ounis, Craig Macdonald
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. CoRR (2023)
Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation. CoRR (2023)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
Generative Query Reformulation for Effective Adhoc Search. CoRR (2023)
Thomas Jänich, Graham McDonald, Iadh Ounis
ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval. ECIR (2) (2023)
Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis
Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. 41 (3) (2023)
Sarawoot Kongyoung, Craig MacDonald, Iadh Ounis
Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting. EMNLP (Findings) (2023)
Zixuan Yi, Iadh Ounis, Craig Macdonald
Graph Contrastive Learning with Positional Representation for Recommendation. ECIR (2) (2023)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
Effective Contrastive Weighting for Dense Query Expansion. ACL (1) (2023)
Andreas Chari, Sean MacAvaney, Iadh Ounis
On the Effects of Regional Spelling Conventions in Retrieval Models. SIGIR (2023)
Xi Wang, Iadh Ounis, Craig Macdonald
Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. ECIR (1) (2022)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. CIKM (2022)
Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. ACM Trans. Inf. Syst. 40 (1) (2022)
Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. ICTIR (2022)
Graham McDonald, Craig Macdonald, Iadh Ounis
Search results diversification for effective fair ranking in academic search. Inf. Retr. J. 25 (1) (2022)
Yaxiong Wu, Craig Macdonald, Iadh Ounis
Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback. CUI (2022)
Erlend Frayling, Craig Macdonald, Graham McDonald, Iadh Ounis
Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information. CLEF (2022)
Siwei Liu, Iadh Ounis, Craig Macdonald
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. SIGIR (2022)
Zixuan Yi, Xi Wang, Iadh Ounis, Craig MacDonald
Multi-modal Graph Contrastive Learning for Micro-video Recommendation. SIGIR (2022)
Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis
University of Glasgow Terrier Team at the TREC 2022 Conversational Assistance Track. TREC (2022)
Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis
DVM-CAR: A Large-Scale Automotive Dataset for Visual Marketing Research and Applications. Big Data (2022)
Xi Wang, Iadh Ounis, Craig Macdonald
BanditProp: Bandit Selection of Review Properties for Effective Recommendation. ACM Trans. Web 16 (4) (2022)
Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering. EMNLP (2022)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Reproducing Personalised Session Search over the AOL Query Log. CoRR (2022)
Yaxiong Wu, Craig Macdonald, Iadh Ounis
Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. RecSys (2022)
Ting Su, Craig Macdonald, Iadh Ounis
Entity-Assisted Language Models for Identifying Check-worthy Sentences. CoRR (2022)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Reproducing Personalised Session Search Over the AOL Query Log. ECIR (1) (2022)
Ting Su, Craig Macdonald, Iadh Ounis
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter. CoRR (2022)
Thomas Jänich, Graham McDonald, Iadh Ounis
University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track. TREC (2022)
Xiao Wang, Craig Macdonald, Iadh Ounis
Improving zero-shot retrieval using dense external expansion. Inf. Process. Manag. 59 (5) (2022)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
An Inspection of the Reproducibility and Replicability of TCT-ColBERT. SIGIR (2022)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Streamlining Evaluation with ir-measures. ECIR (2) (2022)
Hitarth Narvala, Graham McDonald, Iadh Ounis
The Role of Latent Semantic Categories and Clustering in Enhancing the Efficiency of Human Sensitivity Review. CHIIR (2022)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. TREC (2022)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. 24 (4-5) (2021)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Streamlining Evaluation with ir-measures. CoRR (2021)
Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR (2021)
Xi Wang, Iadh Ounis, Craig Macdonald
Leveraging Review Properties for Effective Recommendation. WWW (2021)
Xi Wang, Iadh Ounis, Craig Macdonald
Leveraging Review Properties for Effective Recommendation. CoRR (2021)
Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. SIGIR (2021)
Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. CoRR (2021)
Craig Macdonald, Nicola Tonellotto, Iadh Ounis
On Single and Multiple Representations in Dense Passage Retrieval. CoRR (2021)
Hitarth Narvala, Graham McDonald, Iadh Ounis
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification. EMNLP (Findings) (2021)
JingMin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications. CoRR (2021)
Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis
IntenT5: Search Result Diversification using Causal Language Models. CoRR (2021)
Yaxiong Wu, Craig Macdonald, Iadh Ounis
Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. RecSys (2021)
Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Özgür Ulusoy
Explicit diversification of search results across multiple dimensions for educational search. J. Assoc. Inf. Sci. Technol. 72 (3) (2021)
Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM (2021)
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. CoRR (2021)
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. ICTIR (2021)
Craig Macdonald, Nicola Tonellotto, Iadh Ounis
On Single and Multiple Representations in Dense Passage Retrieval. IIR (2021)
Yaxiong Wu, Craig Macdonald, Iadh Ounis
A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. ICTIR (2020)
Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng
A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR (2020)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR (2020)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys (2020)
Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Özgür Ulusoy
Supervised approaches for explicit search result diversification. Inf. Process. Manag. 57 (6) (2020)
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)
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) (2020)
Xiao Wang, Yaxiong Wu, Xi Wang, Craig Macdonald, Iadh Ounis
University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track. TREC (2020)
Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
University of Glasgow Terrier Team and UFMG at the TREC 2020 Precision Medicine Track. TREC (2020)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. SIGIR (2020)
Xiao Wang, Craig Macdonald, Iadh Ounis
Deep Reinforced Query Reformulation for Information Retrieval. CoRR (2020)
Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
A Contextual Recurrent Collaborative Filtering framework for modelling sequences of venue checkins. Inf. Process. Manag. 57 (6) (2020)
Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells
Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. ECIR (1) (2020)
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) (2020)
Graham McDonald, Craig Macdonald, Iadh Ounis
Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. SIGIR (2020)
Graham McDonald, Craig Macdonald, Iadh Ounis
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. ACM Trans. Inf. Syst. 39 (1) (2020)
Xi Wang, Iadh Ounis, Craig MacDonald
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CIKM (2020)
Xi Wang, Iadh Ounis, Craig Macdonald
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CoRR (2020)
Graham McDonald, Iadh Ounis
University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track. TREC (2020)
Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. SIGIR (2020)
Ting Su, Craig Macdonald, Iadh Ounis
Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. SIGIR (2019)
Jarana Manotumruksa, Dimitrios Rafailidis, Craig Macdonald, Iadh Ounis
On Cross-Domain Transfer in Venue Recommendation. ECIR (1) (2019)
Charles Thomas, Richard McCreadie, Iadh Ounis
Event Tracker: A Text Analytics Platform for Use During Disasters. SIGIR (2019)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR (2019)
Graham McDonald, Craig Macdonald, Iadh Ounis
How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. CHIIR (2019)
Siwei Liu, Iadh Ounis, Craig Macdonald
Social Regularisation in a BPR-based Venue Recommendation System. FDIA@ESSIR (2019)
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) (2019)
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)
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53 (2) (2019)
Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald
Evaluating Similarity Metrics for Latent Twitter Topics. ECIR (1) (2019)
Amir Hossein Jadidinejad, Craig MacDonald, Iadh Ounis
Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. ICTIR (2019)
Richard McCreadie, Shahzad Rajput, Ian Soboroff, Craig Macdonald, Iadh Ounis
On enhancing the robustness of timeline summarization test collections. Inf. Process. Manag. 56 (5) (2019)
Xi Wang, Iadh Ounis, Craig Macdonald
Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. ECIR (1) (2019)
Ting Su, Xi Wang, Craig Macdonald, Iadh Ounis
University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track. TREC (2019)
Ting Su, Craig Macdonald, Iadh Ounis
Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019. CLEF (Working Notes) (2019)
Graham McDonald, Craig Macdonald, Iadh Ounis
The FACTS of Technology-Assisted Sensitivity Review. CoRR (2019)
Graham McDonald, Craig Macdonald, Iadh Ounis
Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. ECIR (2018)
Richard McCreadie, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
Explicit Diversification of Event Aspects for Temporal Summarization. ACM Trans. Inf. Syst. 36 (3) (2018)

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Publication Activity (10 Years)

Top Topics

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Iadh Ounis