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Results: 1,033
Number of items: 1,033
  • Pandey, G., Ren, Z., Wang, S., Veijalainen, J., & de Rijke, M. (2018). Linear Feature Extraction for Ranking. Information Retrieval Journal, 21(6), 481-506. https://doi.org/10.1007/s10791-018-9330-5
  • Vakulenko, S., de Rijke, M., Cochez, M., Savenkov, V., & Polleres, A. (2018). Measuring Semantic Coherence of a Conversation. In D. Vrandečić, K. Bontcheva, M. C. Suárez-Figueroa, V. Presutti, I. Celino, M. Sabou, L.-A. Kaffee, & E. Simperl (Eds.), The Semantic Web – ISWC 2018: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018 : proceedings (Vol. I, pp. 634-651). (Lecture Notes in Computer Science; Vol. 11136). Springer. https://doi.org/10.1007/978-3-030-00671-6_37
  • Chen, W., Cai, F., Chen, H., & de Rijke, M. (2018). Attention-based Hierarchical Neural Query Suggestion. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 1093-1096). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210079
  • Van Gysel, C., & de Rijke, M. (2018). Pytrec_eval: An Extremely Fast Python Interface to TREC_eval. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 873-876). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210065
  • Open Access
    Groth, P., Koesten, L., Mayr, P., de Rijke, M., & Simperl, E. (2018). DATA:SEARCH'18 - Searching data on the web. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 1419-1422). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210195
  • Craswell, N., Croft, W. B., de Rijke, M., Guo, J., & Mitra, B. (2018). Neural information retrieval: introduction to the special issue. Information Retrieval Journal, 21(2-3), 107-110. https://doi.org/10.1007/s10791-017-9323-9
  • Oosterhuis, H., & de Rijke, M. (2018). Ranking for Relevance and Display Preferences in Complex Presentation Layouts. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 845-854). Association for Computing Machinery. https://doi.org/10.1145/3209978.3209992
  • Oosterhuis, H., & de Rijke, M. (2018). Differentiable Unbiased Online Learning to Rank. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 1293-1302). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3271686
  • Oosterhuis, H., Culpepper, J. S., & de Rijke, M. (2018). The Potential of Learned Index Structures for Index Compression. In B. Koopman, A. Trotman, & P. Thomas (Eds.), ADCS 2018: proceedings of the 23rd Australasian Document Computing Symposium : Dunedin, New Zealand, December 11-12, 2018 Article 7 ACM. https://doi.org/10.1145/3291992.3291993
  • Ren, P., Chen, Z., Ren, Z., Wei, F., Nie, L., Ma, J., & de Rijke, M. (2018). Sentence relations for extractive summarization with deep neural networks. ACM Transactions on Information Systems, 36(4), Article 39. https://doi.org/10.1145/3200864
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