A comparative study of regularised SVD and item-based kNN for movie recommender systems
This thesis compares the performance of two algorithms for rating predictions in movie recommender systems. The two algorithms examined, regularised singular value decomposition (RegSVD) and item-based k-Nearest Neighbour (item-based kNN), are compared on 9 different datasets. These datasets consist...
| 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-186374 |