J4 ›› 2013, Vol. 48 ›› Issue (11): 80-86.

• Articles • Previous Articles     Next Articles

A temporal-aware model for search engine

ZHANG Nai-zhou1, CAO Wei 2, CHEN Ke-rui 1, LI Shi-jun3   

  1. 1. College of Computer and Information Engineering, Henan University of Economics and Law,
    Zhengzhou 450002, Henan, China;
    2. Computer College, Wuhan Institute of Technology, Wuhan 430074, Hubei, China;
    3. School of Computer, Wuhan University, Wuhan 430072, Hubei, China
  • Received:2013-09-02 Online:2013-11-20 Published:2013-11-25

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Abstract:

Many of web pages have freshness and nowadays many users’ queries are closely related to this freshness. For current search engines, however, there are still some problems in handling many queries with time property. A new temporal aware search engine model was presented, which introduces the user query understanding, index structure and page ranking algorithm based on the temporal aware processing into architecture of search engine. This model aims at overcome the shortcoming of the traditional keywordbased search engine in dealing with the time based queries. Extensive experiments are carried out in a real Web environment, and the experimental results show the effectiveness of the model.

Key words: freshness of information; search engine model; query log mining; page ranking

CLC Number: 

  • TP391
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