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Denoising Diffusion Recommender Model2024 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Recommender Systems and Techniques cited by 1 patent
Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat‐Seng Chua
86citations -
Disentangling ID and Modality Effects for Session-based Recommendation2024 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Recommender Systems and Techniques Open access
Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma
32citations -
Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Arian Askari, Mohammad Aliannejadi, Chuan Meng, Evangelos Kanoulas, Suzan Verberne
7citations -
Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure2025 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Recommender Systems and Techniques Open access
Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zihan Wang, Liu Yang, Pengjie Ren, +3 more
1citations -
Linking Between Molecular and Biodiversity Data: A BiCIKL Perspective2024 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access
Joana Paupério, Vikas Gupta, Vishnukumar Balavenkataraman Kadhirvelu, Kessy Abarenkov, Wouter Addink, Donat Agosti, +13 more
0citations -
Differentiable Semantic ID for Generative Recommendation2026 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Recommender Systems and Techniques Open access
Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, +1 more
0citations -
Multi-Faceted Learning to Rank With Content-Behavior Fusion for Satisfaction-Diverse Web Search2026 IEEE Transactions on Knowledge and Data Engineering article Computer Science Information Retrieval and Search Behavior
Yuchen Li, Hao Zhang, Yongqi Zhang, Xinyu Ma, Hengyi Cai, Haojie Zhang, +6 more
0citations -
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
0citations -
Tree-based learning on amperometric time series data demonstrates high accuracy for classification2024 International Journal of Data Science and Analytics article Computer Science Time Series Analysis and Forecasting Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, +2 more
2citations -
A Low-Code Approach for Data View Extraction from Engineering Models with GraphQL2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) conference-paper Computer Science Model-Driven Software Engineering Techniques
István Koren, Nico Jansen, Judith Michael, Bernhard Rumpe⋆, Enno Böse
3citations