Extending recommendation algorithms bymodeling user context
Recommender systems have been widely adopted by onlinee-commerce websites like Amazon and music streaming services like Spotify. However, most research efforts have not sufficiently considered the context in which recommendations are made, especially when the input is implicit. In this work, we inve...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156306 |