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.
Improvement of performance of hybrid recommender system using a neural network and resource allocation, Master's Thesis, K.N.Toosi University of Technology, Iran, Tehran, 2017
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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.