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Results: 1,032
Number of items: 1,032
  • Open Access
    Li, X. (2018). Mining information interaction behavior: Academic papers and enterprise emails. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
    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
    Sepliarskaia, A., Kiseleva, J., Radlinski, F., & de Rijke, M. (2018). Preference Elicitation as an Optimization Problem. In 12th ACM Conference on Recommender Systems: October 2-7, 2018 : RECSYS : Vancouver, BC : 2018 (pp. 172-180). Association for Computing Machinery. https://doi.org/10.1145/3240323.3240352
  • Open Access
    Markov, I., & de Rijke, M. (2018). What Should We Teach in Information Retrieval? SIGIR Forum, 52(2), 19-30. https://doi.org/10.1145/3308774.3308780
  • 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
    Li, C., & de Rijke, M. (2018). Incremental sparse Bayesian ordinal regression. Neural Networks, 106, 294-302. https://doi.org/10.1016/j.neunet.2018.07.015
  • Open Access
    Groth, P., Koesten, L., Mayr, P., de Rijke, M., & Simperl, E. (2018). DATA:SEARCH'18 - Searching Data on the Web: Preface. In L. Dietz, L. Koesten, & S. Verberne (Eds.), Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH’18): co-located with (ACM SIGIR 2018) : Ann Arbor, Michigan, USA, July 12, 2018 (pp. 65-66). (CEUR Workshop Proceedings; Vol. 2127). CEUR-WS. http://ceur-ws.org/Vol-2127/preface-datasearch.pdf
  • Markov, I., Borisov, A., & de Rijke, M. (2017). Online Expectation-Maximization for Click Models. In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp. 2195-2198). Association for Computing Machinery. https://doi.org/10.1145/3132847.3133053
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