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Results: 1,033
Number of items: 1,033
  • Open Access
    Onal, K. D., Zhang, Y., Altingovde, I. S., Rahman, M. M., Karagoz, P., Braylan, A., Dang, B., Chang, H.-L., Kim, H., McNamara, Q., Angert, A., Banner, E., Khetan, V., McDonnell, T., Nguyen, A. T., Xu, D., Wallace, B. C., de Rijke, M., & Lease, M. (2018). Neural Information Retrieval: at the End of the Early Years. Information Retrieval Journal, 21(2-3), 111-182. https://doi.org/10.1007/s10791-017-9321-y
  • Open Access
    Graus, D., Odijk, D., & de Rijke, M. (2018). The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams. Journal of the Association for Information Science and Technology, 69(6), 773-786. https://doi.org/10.1002/asi.24004
  • 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
    Grotov, A. (2018). Optimizing web search engines with interactions. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Liang, S., Markov, I., Ren, Z., & de Rijke, M. (2018). Manifold Learning for Rank Aggregation. In The Web Conference 2018: companion of the World Wide Web Conference WWW2018 : April 23-27, 2018, Lyon, France (pp. 1735-1744). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3178876.3186085
  • Open Access
    Li, X. (2018). Mining information interaction behavior: Academic papers and enterprise emails. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Van Gysel, C., de Rijke, M., & Kanoulas, E. (2018). Neural vector spaces for unsupervised information retrieval. ACM Transactions on Information Systems, 36(4), Article 38. https://doi.org/10.1145/3196826
  • Open Access
    Borisov, A. (2018). On understanding, modeling and predicting user behavior in web search. [Thesis, fully internal, Universiteit van Amsterdam].
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