Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 1,033
Number of items: 1,033
  • Open Access
    Ren, P., Lin, Y., Ma, M., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2019). Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.02448v1
  • Open Access
    Chen, W., Ren, P., Cai, F., & de Rijke, M. (2019). Improving End-to-End Sequential Recommendations with Intent-aware Diversification. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.1908.10171
  • Open Access
    Lucic, A., Haned, H., & de Rijke, M. (2019). Explaining Predictions from Tree-based Boosting Ensembles. In Proceedings of FACTS-IR 2019 ArXiv. https://arxiv.org/abs/1907.02582
  • Open Access
    Olteanu, A., Garcia-Gathright, J., de Rijke, M., Ekstrand, M. D., Roegiest, A., Lipani, A., Beutel, A., Lucic, A., Stoica, A.-A., Das, A., Biega, A., Voorn, B., Hauff, C., Spina, D., Lewis, D., Oard, D. W., Yilmaz, E., Hasibi, F., Kazai, G., ... Kamishima, T. (2019). FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval. SIGIR Forum, 53(2), 20-43. http://sigir.org/wp-content/uploads/2019/december/p020.pdf
  • Open Access
    Zhang, Y., Ren, P., & de Rijke, M. (2019). Improving Background Based Conversation with Context-aware Knowledge Pre-selection. Paper presented at 4th International Workshop on Search-Oriented Conversational AI (SCAI), Macao, China. https://arxiv.org/abs/1906.06685
  • Open Access
    van den Bosch, A., van Dijck, J., Helberger, N., Heylen, D., Hindriks, K., Hoos, H., Lagendijk, I., de Rijke, M., Niessen, W., Verheij, B., Vossen, P., & van Wynsberghe, A. (2019). Artificial Intelligence Research Agenda for the Netherlands. NWO. https://www.nwo.nl/en/news/first-national-research-agenda-artificial-intelligence
  • Open Access
    de Rijke, M. (2019). Reinforcement learning to rank. 5. Abstract from 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, Australia. https://doi.org/10.1145/3289600.3291605
  • Open Access
    Azarbonyad, H. (2019). Exploratory search over semi-structured documents. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, C., Feng, H., & de Rijke, M. (2019). A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.1912.00508
  • Open Access
    Sepliarskaia, A. (2019). Understanding user goals by analyzing logged interactions and asking the right questions. [Thesis, fully internal, Universiteit van Amsterdam].
Page 27 of 104