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SimRank: a measure of structural-context similarity

Published:23 July 2002Publication History

ABSTRACT

The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents or computing overlap among item-sets. We propose a complementary approach, applicable in any domain with object-to-object relationships, that measures similarity of the structural context in which objects occur, based on their relationships with other objects. Effectively, we compute a measure that says "two objects are similar if they are related to similar objects:" This general similarity measure, called SimRank, is based on a simple and intuitive graph-theoretic model. For a given domain, SimRank can be combined with other domain-specific similarity measures. We suggest techniques for efficient computation of SimRank scores, and provide experimental results on two application domains showing the computational feasibility and effectiveness of our approach.

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            cover image ACM Conferences
            KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
            July 2002
            719 pages
            ISBN:158113567X
            DOI:10.1145/775047

            Copyright © 2002 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 23 July 2002

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