A Semi Supervised Support Vector Machine for a Recommender System : Applied to a real estate dataset

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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Bibliographic Details
Main Author: Méndez, José
Format: Others
Language:English
Published: Linköpings universitet, Statistik och maskininlärning 2021
Subjects:
SVM
Support Vector Machines
Semisupervised Learning
Machine Learning
Semi-supervised learning
Computer Engineering
Datorteknik
Other Computer and Information Science
Annan data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176211

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176211

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