Pre-processing approaches for collaborative filtering based on hierarchical clustering

Pre-processing approaches for collaborative filtering based on hierarchical clustering

Recommender Systems (RS) support users to find relevant content, such as movies, books, songs, and other products based on their preferences. Such preferences are gathered by analyzing past users interactions, however, data collected for this purpose are typically prone to sparsity and high dime...

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Bibliographic Details
Main Author: Fernando Soares de Aguiar Neto
Other Authors: Marcelo Garcia Manzato
Language:English
Published: Universidade de São Paulo 2018
Subjects:
Agrupamento de Dados
Dissertação
Otimização
Sistemas de recomendação
Clustering
Dissertation
Optimization
Recommender systems
Online Access:http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25032019-102215/

Internet

http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25032019-102215/

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