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Sixth IEEE International Conference on Data Mining (ICDM'06)
CoMiner: An Effective Algorithm for Mining Competitors from the Web
Hong Kong
December 18-December 22
ISBN: 0-7695-2701-9
Rui Li, Shanghai Jiao Tong University, China
Shenghua Bao, Shanghai Jiao Tong University, China
Jin Wang, Shanghai Jiao Tong University, China
Yong Yu, Shanghai Jiao Tong University, China
Yunbo Cao, Microsoft Research Asia, China
This paper attempts to accomplish a novel task of mining competitive information with respect to an entity (such as a company, product, person) from the web. An algorithm called "CoMiner" is proposed, which first extracts a set of comparative candidates of the input entity and then ranks them according to the comparability, and finally extracts the competitive fields. The experimental results show that the proposed algorithm drafts a complete picture of competitive relation of a given entity effectively.
Citation:
Rui Li, Shenghua Bao, Jin Wang, Yong Yu, Yunbo Cao, "CoMiner: An Effective Algorithm for Mining Competitors from the Web," icdm, pp.948-952, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006
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