CWS: a comparative web search system

Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, and Zheng Chen

Abstract

In this paper, we define and study a novel search problem: Comparative Web Search (CWS). The task of CWS is to seek relevant and comparative information from the Web to help users conduct comparisons among a set of topics. A system called CWS is developed to effectively facilitate Web users’ comparison needs. Given a set of queries, which represent the topics that a user wants to compare, the system is characterized by: (1) automatic retrieval and ranking of Web pages by incorporating both their relevance to the queries and the comparative contents they contain; (2) automatic clustering of the comparative contents into semantically meaningful themes; (3) extraction of representative keyphrases to summarize the commonness and differences of the comparative contents in each theme. We developed a novel interface which supports two types of view modes: a pair-view which displays the result in the page level, and a cluster-view which organizes the comparative pages into the themes and displays the extracted phrases to facilitate users’ comparison. Experiment results show the CWS system is effective and efficient.

Details

Publication typeInproceedings
Published inWWW '06: Proceedings of the 15th international conference on World Wide Web
URLhttp://doi.acm.org/10.1145/1135777.1135846
Pages467–476
ISBN1-59593-323-9
AddressNew York, NY, USA
PublisherACM
> Publications > CWS: a comparative web search system