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Results: 1,025
Number of items: 1,025
  • 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
  • Xie, X., Liu, Y., de Rijke, M., He, J., Zhang, M., & Ma, S. (2018). Why people search for images using web search engines. In WSDM'18: proceedings of the Eleventh ACM International Conference on Web Search and Data Mining : February 5-9, 2018, Marina Del Rey, CA, USA (pp. 655-663). Association for Computing Machinery. https://doi.org/10.1145/3159652.3159686
  • Xie, X., Mao, J., de Rijke, M., Zhang, R., Zhang, M., & Ma, S. (2018). Constructing an Interaction Behavior Model for Web Image Search. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 425-434). Association for Computing Machinery. https://doi.org/10.1145/3209978.3209990
  • Sharchilev, B., Roizner, M., Rumyantsev, A., Ozornin, D., Serdyukov, P., & de Rijke, M. (2018). Web-based Startup Success Prediction. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 2283-2291). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3272011
  • Feng, C., Cai, F., Chen, H., & de Rijke, M. (2018). Attentive Encoder-based Extractive Text Summarization. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 1499-1502). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3269251
  • Chen, Y., & de Rijke, M. (2018). A Collective Variational Autoencoder for Top-N Recommendation with Side Information. In Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems: In conjunction with RecSys 2018 : October 06, 2018, Vancouver, Canada (pp. 3-9). (ICPS). ACM. https://doi.org/10.1145/3270323.3270326
  • 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
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