Investigating the performance of matrix factorization techniques applied on purchase data for recommendation purposes
Automated systems for producing product recommendations to users is a relatively new area within the field of machine learning. Matrix factorization techniques have been studied to a large extent on data consisting of explicit feedback such as ratings, but to a lesser extent on implicit feedback d...
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| Format: | Others |
| Language: | English |
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Malmö högskola, Fakulteten för teknik och samhälle (TS)
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20624 |