User preference prediction between ads-supported and subscribed users
The goal of this master’s thesis was to create a model that predicts preference towards a specific exclusive feature in a subscribed service. It investigated unsupervised and semi-supervised learning to identify customer segments that prefer an specific exclusive feature. These customers segments we...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240589 |