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 dimensio...

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Bibliographic Details
Main Author: Aguiar Neto, Fernando Soares de
Other Authors: Campello, Ricardo José Gabrielli Barreto
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2018
Subjects:
Agrupamento de Dados
Clustering
Dissertação
Dissertation
Optimization
Otimização
Recommender systems
Sistemas de recomendação
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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