JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (9): 26-34.doi: 10.6040/j.issn.1671-9352.1.2016.047

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User preference prediction in heterogeneous search environment

ZHANG Fan, LUO Cheng, LIU Yi-qun, ZHANG Min, MA Shao-ping   

  1. State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  • Received:2016-11-25 Online:2017-09-20 Published:2017-09-15

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Abstract: We propose a series of SERP based features for learning classifiers to automatically predict user preference and we attempt to combine prediction model and user study. The experimental results show that it is difficult to make reliable prediction for user preference only based on appearances of SERPs despite the abundant information of SERPs in heterogeneous environment.

Key words: heterogeneous environments, user preferences, automatic prediction

CLC Number: 

  • TP391
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