In this paper, we study this novel problem of Modeling the Joint Influences posed by multiple correlated events on user search behavior. We propose a Joint ...

Mar 1, 2019 · In this paper, we study this novel problem of Modeling the Joint Influences posed by multiple correlated events on user search behavior. We ...

ABSTRACT. Previous work has shown that popular trending events are im- portant external factors which pose significant influence on user search behavior and ...

Experimental results show that the model can indeed capture the temporal dynamics of the joint influence over time and also achieves superior performance ...

In this paper, we study this novel problem of Modeling the Joint Influences posed by multiple correlated events on user search behavior. We propose a Joint ...

Aug 27, 2018 · In this paper, we study this novel problem of Modeling the Joint Influences posed by multiple correlated events on user search behavior. We ...

JIM: Joint Influence Modeling for Collective Search Behavior ; Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM ...

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sign in. Article,. JIM: Joint Influence Modeling for Collective Search Behavior. S. Santu, L. Li, Y. Chang, and C. Zhai. CoRR, (2019 ). 1. 1. Meta data.

Oct 2, 2022 · Bibliographic details on JIM: Joint Influence Modeling for Collective Search Behavior.