Evaluating recommendation systems for a sparse boolean dataset
Recommendation systems is an area within machine learning that has become increasingly relevant with the expansion of the daily usage of technology. The most popular approaches when making a recommendation system are collaborative filtering and content-based. Collaborative filtering also contains tw...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189850 |