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Discovering temporal hidden contexts in web sessions for user trail prediction.

, , , and . WWW (Companion Volume), page 1067-1074. International World Wide Web Conferences Steering Committee / ACM, (2013)

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Modelling and Detecting Changes in User Satisfaction., , , and . CIKM, page 1449-1458. ACM, (2014)An Easter Egg Hunting Approach to Test Collection Building in Dynamic Domains., , , , and . EVIA@NTCIR, National Institute of Informatics (NII), (2016)MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social Networks., , , and . ICTIR, page 260-261. ACM, (2019)Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback., , , , , and . CoRR, (2023)Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications., , , , , , , and . CoRR, (2024)Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback., , , , , and . EACL (Findings), page 1306-1321. Association for Computational Linguistics, (2024)Overview of the TREC 2016 Contextual Suggestion Track., , , , and . TREC, volume 500-321 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2016)Search-Oriented Conversational AI (SCAI)., , , and . ICTIR, page 333-334. ACM, (2017)Guided Dialogue Policy Learning without Adversarial Learning in the Loop., , , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2308-2317. Association for Computational Linguistics, (2020)Discovering temporal hidden contexts in web sessions for user trail prediction., , , and . WWW (Companion Volume), page 1067-1074. International World Wide Web Conferences Steering Committee / ACM, (2013)