A Semi Supervised Support Vector Machine for a Recommender System : Applied to a real estate dataset
Recommender systems are widely used in e-commerce websites to improve the buying experience of the customer. In recent years, e-commerce has been quickly expanding and its growth has been accelerated during the COVID-19 pandemic, when customers and retailers were asked to keep their distance and do...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Statistik och maskininlärning
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176211 |