JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (9): 13-18.doi: 10.6040/j.issn.1671-9352.0.2016.107

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Study on boundary detection of users query intents

WANG Kai, HONG Yu*, QIU Ying-ying, WANG Jian, YAO Jian-min, ZHOU Guo-dong   

  1. School of Computer Science and Technology Soochow University, Suzhou 215006, Jiangsu, China
  • Received:2016-11-25 Online:2017-09-20 Published:2017-09-15

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Abstract: In generally, several query requests will be submit by user to capture specific query intent. It is quite a meaningful work to detect the boundary among continuous query requests effectively, which could help search engine to understand the query intent completely. Moreover, identifying the integrated query intent is considerable helpful to query suggestion, query expansion and the construction of user profile. On the basis of fully analyzing the features mentioned from previous research, this paper proposed topic distribution-based similarity and this similarity is effective with SVM model and CRF model. The results show that, with topic distribution similarity, F-measure is improved by 2% in comparison to the baseline system.

Key words: information retrieval, boundary detection, query intent

CLC Number: 

  • TP391
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