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.
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge & Data Engineering, 6, 734- 749, 2005
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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.