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Results: 1,033
Number of items: 1,033
  • Voskarides, N., Meij, E., Reinanda, R., Khaitan, A., Osborne, M., Stefanoni, G., Kambadur, P., & de Rijke, M. (2018). Weakly-supervised contextualization of knowledge graph facts. In SIGIR #41 proceedings : Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 765-774). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210031
  • Borisov, A., Wardenaar, M., Markov, I., & de Rijke, M. (2018). A Click Sequence Model for Web Search. In SIGIR #41 proceedings : Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 45-54). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210004
  • Borisov, A., Kiseleva, J., Markov, I., & de Rijke, M. (2018). Calibration: A Simple Way to Improve Click Models. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 1503-1506). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3269260
  • Open Access
    Sepliarskaia, A., Kiseleva, J., Radlinski, F., & de Rijke, M. (2018). Preference Elicitation as an Optimization Problem. In 12th ACM Conference on Recommender Systems: October 2-7, 2018 : RECSYS : Vancouver, BC : 2018 (pp. 172-180). Association for Computing Machinery. https://doi.org/10.1145/3240323.3240352
  • Open Access
    Groth, P., Koesten, L., Mayr, P., de Rijke, M., & Simperl, E. (2018). DATA:SEARCH'18 - Searching Data on the Web: Preface. In L. Dietz, L. Koesten, & S. Verberne (Eds.), Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH’18): co-located with (ACM SIGIR 2018) : Ann Arbor, Michigan, USA, July 12, 2018 (pp. 65-66). (CEUR Workshop Proceedings; Vol. 2127). CEUR-WS. http://ceur-ws.org/Vol-2127/preface-datasearch.pdf
  • Open Access
    Li, C., & de Rijke, M. (2018). Incremental sparse Bayesian ordinal regression. Neural Networks, 106, 294-302. https://doi.org/10.1016/j.neunet.2018.07.015
  • Open Access
    Markov, I., & de Rijke, M. (2018). What Should We Teach in Information Retrieval? SIGIR Forum, 52(2), 19-30. https://doi.org/10.1145/3308774.3308780
  • Open Access
    Van Gysel, C., de Rijke, M., & Kanoulas, E. (2018). Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search. In CIKM '18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 1373-1382). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3271668
  • Open Access
    Ren, Z., He, X., Yin, D., & de Rijke, M. (2018). Information Discovery in E-commerce: Half-day SIGIR 2018 tutorial. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 1379-1382). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210185
  • Open Access
    Jiang, S., & de Rijke, M. (2018). Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. In A. Chuklin, J. Dalton, J. Kiseleva, A. Borisov, & M. Burtsev (Eds.), Search-Oriented Conversational AI (SCAI): EMNLP 2018 : Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI : October 31, 2018, Brussels, Belgium (pp. 81-86). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.1809.01941, https://doi.org/10.18653/v1/W18-5712
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