Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIadh Ounis
Person information
- affiliation: University of Glasgow, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j58]Hitarth Narvala
, Graham McDonald, Iadh Ounis:
Identifying chronological and coherent information threads using 5W1H questions and temporal relationships. Inf. Process. Manag. 60(3): 103274 (2023)- [j57]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): 82:1-82:20 (2023) - [j56]Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. 41(3): 74:1-74:28 (2023) - [j55]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): 3:1-3:39 (2023) - [c285]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Effective Contrastive Weighting for Dense Query Expansion. ACL (1) 2023: 12688-12704 - [c284]Zixuan Yi, Iadh Ounis, Craig Macdonald:
Graph Contrastive Learning with Positional Representation for Recommendation. ECIR (2) 2023: 288-303 - [c283]Thomas Jänich, Graham McDonald, Iadh Ounis:
ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval. ECIR (2) 2023: 457-465 - [c282]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Effective Hierarchical Information Threading Using Network Community Detection. ECIR (1) 2023: 701-716 - [c281]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. RecSys 2023: 362-373 - [c280]Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. SIGIR 2023: 2220-2224 - [c279]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR 2023: 2552-2561 - [i24]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Generative Query Reformulation for Effective Adhoc Search. CoRR abs/2308.00415 (2023) - [i23]Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. CoRR abs/2308.00480 (2023) - [i22]Zixuan Yi, Iadh Ounis, Craig Macdonald:
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. CoRR abs/2308.10685 (2023) - 2022
- [j54]Xiao Wang, Craig Macdonald, Iadh Ounis:
Improving zero-shot retrieval using dense external expansion. Inf. Process. Manag. 59(5): 103026 (2022) - [j53]Graham McDonald, Craig Macdonald, Iadh Ounis:
Search results diversification for effective fair ranking in academic search. Inf. Retr. J. 25(1): 1-26 (2022) - [j52]Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. ACM Trans. Inf. Syst. 40(1): 4:1-4:22 (2022) - [j51]Xi Wang, Iadh Ounis, Craig Macdonald:
BanditProp: Bandit Selection of Review Properties for Effective Recommendation. ACM Trans. Web 16(4): 20:1-20:19 (2022) - [c278]Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A Large-Scale Automotive Dataset for Visual Marketing Research and Applications. IEEE Big Data 2022: 4140-4147 - [c277]Hitarth Narvala, Graham McDonald, Iadh Ounis:
The Role of Latent Semantic Categories and Clustering in Enhancing the Efficiency of Human Sensitivity Review. CHIIR 2022: 56-66 - [c276]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. CIKM 2022: 4931-4935 - [c275]Erlend Frayling, Craig Macdonald, Graham McDonald, Iadh Ounis:
Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information. CLEF 2022: 125-132 - [c274]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback. CUI 2022: 6:1-6:10 - [c273]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Streamlining Evaluation with ir-measures. ECIR (2) 2022: 305-310 - [c272]Xi Wang, Iadh Ounis, Craig Macdonald:
Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. ECIR (1) 2022: 487-501 - [c271]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Reproducing Personalised Session Search Over the AOL Query Log. ECIR (1) 2022: 627-640 - [c270]Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis:
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering. EMNLP 2022: 7207-7218 - [c269]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: 108-114 - [c268]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. RecSys 2022: 124-133 - [c267]Zixuan Yi, Xi Wang, Iadh Ounis, Craig MacDonald:
Multi-modal Graph Contrastive Learning for Micro-video Recommendation. SIGIR 2022: 1807-1811 - [c266]Siwei Liu, Iadh Ounis, Craig Macdonald:
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. SIGIR 2022: 2431-2436 - [c265]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
An Inspection of the Reproducibility and Replicability of TCT-ColBERT. SIGIR 2022: 2790-2800 - [c264]Thomas Jänich, Graham McDonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track. TREC 2022 - [c263]Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2022 Conversational Assistance Track. TREC 2022 - [c262]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 - [p1]Richard McCreadie, John Soldatos, Jonathan Fürst, Mauricio Fadel Argerich, George Kousiouris, Jean-Didier Totow, Antonio Castillo Nieto, Bernat Quesada Navidad, Dimosthenis Kyriazis, Craig Macdonald, Iadh Ounis:
Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. Technologies and Applications for Big Data Value 2022: 135-158 - [i21]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Reproducing Personalised Session Search over the AOL Query Log. CoRR abs/2201.08622 (2022) - [i20]Ting Su, Craig Macdonald, Iadh Ounis:
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter. CoRR abs/2211.10672 (2022) - [i19]Ting Su, Craig Macdonald, Iadh Ounis:
Entity-Assisted Language Models for Identifying Check-worthy Sentences. CoRR abs/2211.10678 (2022) - 2021
- [j50]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. 24(4-5): 347-369 (2021) - [j49]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): 315-330 (2021) - [c261]Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis:
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM 2021: 4526-4533 - [c260]Hitarth Narvala, Graham McDonald, Iadh Ounis:
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification. EMNLP (Findings) 2021: 3671-3681 - [c259]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. ICTIR 2021: 297-306 - [c258]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Single and Multiple Representations in Dense Passage Retrieval. IIR 2021 - [c257]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. RecSys 2021: 241-251 - [c256]Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. SIGIR 2021: 2031-2035 - [c255]Xi Wang, Iadh Ounis, Craig Macdonald:
Leveraging Review Properties for Effective Recommendation. WWW 2021: 2209-2219 - [i18]Xi Wang, Iadh Ounis, Craig Macdonald:
Leveraging Review Properties for Effective Recommendation. CoRR abs/2102.03089 (2021) - [i17]Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. CoRR abs/2104.08912 (2021) - [i16]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. CoRR abs/2106.11251 (2021) - [i15]Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR abs/2107.03936 (2021) - [i14]Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis:
IntenT5: Search Result Diversification using Causal Language Models. CoRR abs/2108.04026 (2021) - [i13]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Single and Multiple Representations in Dense Passage Retrieval. CoRR abs/2108.06279 (2021) - [i12]Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications. CoRR abs/2109.00881 (2021) - [i11]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Streamlining Evaluation with ir-measures. CoRR abs/2111.13466 (2021) - 2020
- [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]Graham McDonald, Craig Macdonald, Iadh Ounis:
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. ACM Trans. Inf. Syst. 39(1): 4:1-4:34 (2020) - [c254]Xi Wang, Iadh Ounis, Craig MacDonald:
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CIKM 2020: 1565-1574 - [c253]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 - [c252]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. ICTIR 2020: 89-96 - [c251]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 - [c250]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys 2020: 681-686 - [c249]Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. SIGIR 2020: 2025-2028 - [c248]Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng:
A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR 2020: 2029-2032 - [c247]Graham McDonald, Craig Macdonald, Iadh Ounis:
Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. SIGIR 2020: 2053-2056 - [c246]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. SIGIR 2020: 2161-2164 - [c245]Graham McDonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track. TREC 2020 - [c244]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 - [c243]Xiao Wang, Yaxiong Wu, Xi Wang, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track. TREC 2020 - [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
- [j43]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) - [j42]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) - [j41]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): 20-43 (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,