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Results: 9
Number of items: 9
  • Open Access
    Zou, J., Sun, A., Long, C., Aliannejadi, M., & Kanoulas, E. (2023). Asking Clarifying Questions: To benefit or to disturb users in Web search? Information Processing and Management, 60(2), Article 103176. https://doi.org/10.1016/j.ipm.2022.103176
  • Open Access
    Zou, J., Aliannejadi, M., Kanoulas, E., Pera, M. S., & Liu, Y. (2023). Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification. ACM Transactions on Information Systems, 41(1), Article 16. https://doi.org/10.1145/3524110
  • Open Access
    Zou, J. (2021). Improving search and recommendation by asking clarifying questions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Chen, Y., Wang, Y., Zhao, X., Zou, J., & de Rijke, M. (2020). Block-Aware Item Similarity Models for Top-N Recommendation. ACM Transactions on Information Systems, 38(4), Article 42. https://doi.org/10.1145/3411754
  • Open Access
    Zou, J., & Kanoulas, E. (2020). Towards Question-based High-recall Information Retrieval: Locating the Last Few Relevant Documents for Technology-assisted Reviews. ACM Transactions on Information Systems, 38(3), Article 27. https://doi.org/10.1145/3388640
  • Open Access
    Zou, J., Kanoulas, E., & Liu, Y. (2020). An Empirical Study on Clarifying Question-Based Systems. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 2361-2364). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412094
  • Open Access
    Zou, J., Chen, Y., & Kanoulas, E. (2020). Towards Question-based Recommender Systems. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 881-890). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401180
  • Open Access
    Zou, J., & Kanoulas, E. (2019). Learning to Ask: Question-based Sequential Bayesian Product Search. In CIKM'19: Proceedings of the 28th ACM International Conference on Information & Knowledge Management : November 3-7, 2019, Beijing, China (pp. 369-378). Association for Computing Machinery. https://doi.org/10.1145/3357384.3357967
  • Open Access
    Zou, J., Li, D., & Kanoulas, E. (2018). Technology assisted reviews: Finding the last few relevant documents by asking yes/no questions to reviewers. In SIGIR #41 proceedings : Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 949-952). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210102
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