Paper Info
Title
CWS: a comparative web search system
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.
Year
DOI
Venue
2006
10.1145/1135777.1135846
WWW
Keywords
Field
DocType
automatic retrieval,comparative information,comparative web search system,web user,comparative web search,cws system,comparative page,comparison need,comparative content,web page,automatic clustering,clustering,web pages,search engine
Web search query,Data mining,World Wide Web,Search engine,Web page,Information retrieval,Ranking,Computer science,Web modeling,Search problem,Cluster analysis
Conference
ISBN
Citations 
PageRank 
1-59593-323-9
28
1.44
References 
Authors
15
5
Name
Order
Citations
PageRank
Jian-Tao Sun1162974.03
Xuanhui Wang2139468.85
Dou Shen3122459.46
Hua-Jun Zeng41999100.54
Zheng Chen55019256.89