Movie recommendations using matrix factorization
A recommender system is a tool for recommending personalized content for users based on previous behaviour. This thesis examines the impact of considering item and user bias in matrix factorization for implementing recommender systems. Previous work have shown that user bias have an impact on the pr...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för datavetenskap och kommunikation (CSC)
2016
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186400 |