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Where To Go Next?: Exploiting Behavioral User Models in Smart Environments.

, and . UMAP, page 50-58. ACM, (2017)

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Expertise Finding in Bibliographic Network: Topic Dominance Learning Approach., , and . IEEE Trans. Cybern., 44 (12): 2646-2657 (2014)Exploiting behavioral user models for point of interest recommendation in smart museums., and . New Rev. Hypermedia Multim., 24 (3): 228-261 (2018)On the Reusability of Personalized Test Collections., and . UMAP (Adjunct Publication), page 185-189. ACM, (2017)An Easter Egg Hunting Approach to Test Collection Building in Dynamic Domains., , , , and . EVIA@NTCIR, National Institute of Informatics (NII), (2016)Automatic Task Completion Flows from Web APIs., , and . SIGIR, page 1009-1012. ACM, (2019)Effects of Position and Time Bias on Understanding Onsite Users' Behavior., , , and . CHIIR, page 277-280. ACM, (2016)Expertise retrieval in bibliographic network: a topic dominance learning approach., , and . CIKM, page 1117-1126. ACM, (2013)Neural Endorsement Based Contextual Suggestion., , and . TREC, volume 500-321 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2016)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)On the Reusability of Open Test Collections., , , , and . SIGIR, page 827-830. ACM, (2015)