Finding similar items based on co-occurrence data is an important data mining task with applications ranging from recommender systems to keyword based advertising. A number of co-occurrence similarity functions have been proposed based on graph-theoretic, geometric, and statistical abstractions. Despite the variety of existing algorithms, however, there exists no formal methodology for analyzing their properties and comparing their benefits and limitations. At the same time, the wide range of applications ...
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