SimRank is a general similarity measure, based on a simple and intuitive graph-theoretic model.
SimRank is 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, SimRank is a measure that says "two objects are considered to be similar if they are referenced by similar objects." Although SimRank is widely adopted, it may output unreasonable similarity scores which are influenced by different factors, and can be solved in several ways, such as introducing an evidence weight factor,[1] inserting additional terms that are neglected by SimRank[2] or using PageRank-based alternatives.[3]
^I. Antonellis, H. Garcia-Molina and C.-C. Chang. Simrank++: Query Rewriting through Link Analysis of the Click Graph. In VLDB '08: Proceedings of the 34th International Conference on Very Large Data Bases, pages 408--421. [1]
^W. Yu, X. Lin, W. Zhang, L. Chang, and J. Pei. More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarities Based on Hyperlinks. In VLDB '13: Proceedings of the 39th International Conference on Very Large Data Bases, pages 13--24. [2]
^H. Chen, and C. L. Giles. "ASCOS++: An Asymmetric Similarity Measure for Weighted Networks to Address the Problem of SimRank." ACM Transactions on Knowledge Discovery from Data (TKDD) 10.2 2015.[3]
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