Search results
Results: 1,032
Number of items: 1,032
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Sarvi, F., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results. In CHIIR'23: proceedings of the 2023 Conference on Human Information Interaction and Retrieval : March 19-23, 2023, Austin, Texas, USA (pp. 346-350). The Association for Computing Machinery. https://doi.org/10.1145/3576840.3578278 -
Gupta, S., Oosterhuis, H., & de Rijke, M. (2023). Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 249–258). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591760 -
Jullien, S., Ariannezhad, M., Groth, P., & de Rijke, M. (2023). A Simulation Environment and Reinforcement Learning Method for Waste Reduction. Transactions on Machine Learning Research, 2023, Article 769. https://openreview.net/forum?id=KSvr8A62MD -
Meng, C., Aliannejadi, M., & de Rijke, M. (2023). Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. In G. Faggioli, N. Ferro, J. Mothe, & F. Raiber (Eds.), Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop: co-located with The 45th European Conference on Information Retrieval (ECIR) : Dublin, Ireland, April 6th, 2023 (pp. 25-28). (CEUR Workshop Proceedings; Vol. 3366). CEUR-WS. https://ceur-ws.org/Vol-3366/paper-05.pdf -
Hendriksen, M., Bleeker, M., Vakulenko, S., van Noord, N., Kuiper, E., & de Rijke, M. (2022). Extending CLIP for Category-to-Image Retrieval in E-Commerce. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. I, pp. 289-303). (Lecture Notes in Computer Science; Vol. 13185). Springer. https://doi.org/10.1007/978-3-030-99736-6_20
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Chen, W., Ren, P., Cai, F., Sun, F., & de Rijke, M. (2022). Multi-interest Diversification for End-to-end Sequential Recommendation. ACM Transactions on Information Systems, 40(1), Article 20. https://doi.org/10.1145/3475768
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