Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Scaling link-based similarity search
WWW '05 Proceedings of the 14th international conference on World Wide Web
LinkClus: efficient clustering via heterogeneous semantic links
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Efficient Algorithm for Computing Link-Based Similarity in Real World Networks
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
Accuracy estimate and optimization techniques for SimRank computation
The VLDB Journal — The International Journal on Very Large Data Bases
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We focus on extensions to the pairwise similarity calculation of information networks. By considering both in- and out-link relationships, we propose Additive- and Multiplicative-SimRank to calculate the similarity score. Then we discuss the loop/cycles problem of information networks and propose a method to address this problem. Our extensive experimental results conducted on eight food web data sets show that our approach performs significantly better than earlier approaches.