Search results
Results: 1,025
Number of items: 1,025
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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
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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
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Ounis, I., Allan, J., Wen, J.-R., Diaz, F., de Rijke, M., Castillo, C., Chua, T.-S., Donato, D., Zhang, Y., Kan, M.-Y., Agarwal, D., Gao, J., Wang, J., Huang, J., Capra, R., Davison, B. R., Yilmaz, E., Liu, Y., Collins-Thompson, K., & Mei, Q. (2018). ACM SIGIR 2018 chairs' welcome. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. iii-iv). Association for Computing Machinery. https://doi.org/10.1145/3209978
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Jagerman, R., Balog, K., & de Rijke, M. (2018). OpenSearch: Lessons Learned from an Online Evaluation Campaign. Journal of Data and Information Quality, 10(3), Article 13. https://doi.org/10.1145/3239575
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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 -
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 -
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 -
Sharchilev, B., Ustinovsky, Y., Serdyukov, P., & de Rijke, M. (2018). Finding Influential Training Samples for Gradient Boosted Decision Trees. Proceedings of Machine Learning Research, 80, 4577-4585. http://proceedings.mlr.press/v80/sharchilev18a.html
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