A hybrid recommender system that multiplies a heuristic user-similarity score by a resource-allocation weight is claimed to improve MovieLens recommendation accuracy, but the evaluation lacks significance testing.
A new user similarity model to improve the accuracy of collaborative filtering, Knowledge-Based Systems, 56, 156-166, 2014
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FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach
A hybrid recommender system that multiplies a heuristic user-similarity score by a resource-allocation weight is claimed to improve MovieLens recommendation accuracy, but the evaluation lacks significance testing.