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Results: 1,032
Number of items: 1,032
  • 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
  • Open Access
    Borisov, A. (2018). On understanding, modeling and predicting user behavior in web search. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • Open Access
    de Rijke, M. (2018). Learning to Search for Datasets. In The Web Conference 2018: companion of the World Wide Web Conference WWW2018 : April 23-27, 2018, Lyon, France (pp. 1483). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3184558.3191604
  • Open Access
    Lin, Y., Ren, P., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2018). Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation. (v1 ed.) ArXiv. https://arxiv.org/abs/1806.08977v1
  • 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
  • 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
    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
  • Open Access
    Grotov, A. (2018). Optimizing web search engines with interactions. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
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