Matrix factorization in recommender systems : How sensitive are matrix factorization models to sparsity?
One of the most popular methods in recommender systems are matrix factorization (MF) models. In this paper, the sensitivity of sparsity of these models are investigated using a simulation study. Using the MovieLens dataset as a base several dense matrices are created. These dense matrices are then m...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Statistiska institutionen
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352653 |