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Results: 1,025
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  • Chen, W., Cai, F., Chen, H., & de Rijke, M. (2020). Personalized Query Suggestion Diversification in Information Retrieval. Frontiers of Computer Science, 14(3), Article 143602. https://doi.org/10.1007/s11704-018-7283-x
  • Chen, Y., Wang, Y., Zhao, X., Zou, J., & de Rijke, M. (2020). Block-Aware Item Similarity Models for Top-N Recommendation. ACM Transactions on Information Systems, 38(4), Article 42. https://doi.org/10.1145/3411754
  • Li, C., Feng, H., & de Rijke, M. (2020). Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. In RECSYS 2020: 14th ACM Conference on Recommender Systems : Virtual Event, Brazil, September 22-26, 2020 (pp. 33–42). The Association for Computing Machinery. https://doi.org/10.1145/3383313.3412245
  • Open Access
    Oosterhuis, H., & de Rijke, M. (2020). Unifying Online and Counterfactual Learning to Rank. ArXiv. https://arxiv.org/abs/2012.04426
  • Open Access
    Oosterhuis, H., & de Rijke, M. (2020). Policy-Aware Unbiased Learning to Rank for Top-k Rankings. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 489–498). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401102
  • Open Access
    ter Hoeve, M., Sim, R., Nouri, E., Fourney, A., de Rijke, M., & White, R. W. (2020). Conversations with Documents: An Exploration of Document-Centered Assistance. Paper presented at 5th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2020, Vancouver, Canada. https://doi.org/10.48550/arXiv.2002.00747
  • Open Access
    Zhang, Y., Ren, P., & de Rijke, M. (2020). Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. (v1 ed.) https://arxiv.org/abs/2008.09706
  • Open Access
    Li, Z., Kiseleva, J., & de Rijke, M. (2020). Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020: 16-20 November, 2020 (pp. 3537–3546). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.316
  • Open Access
    Steenvoorden, A., Di Gloria, E., Chen, W., Ren, P., & de Rijke, M. (2020). Attribute-aware Diversification for Sequential Recommendations. In AIIS 2020: The SIGIR 2020 Workshop on Applied Interactive Information Systems : held in conjunction with SIGIR'20 July 30, 2020, Xi'an, China Article 1 AIIS Workshop. https://aiis.newidea.fun/papers/AIIS_2020_paper_1.pdf
  • Open Access
    Lin, Y., Ren, P., Chen, Z., Ren, Z., Yu, D., Ma, J., de Rijke, M., & Cheng, X. (2020). Meta Matrix Factorization for Federated Rating Predictions. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 981–990). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401081
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