Relative preference-based recommender systems


Autoria(s): Liu, Shaowu
Contribuinte(s)

Li Gang

Beliakov Gleb

Xiong, Ping

Data(s)

01/06/2016

Resumo

This study investigates the problem of making recommendations to users, such as recommending a movie. Several novel models are proposed to make accurate recommendations by analyzing both the explicit and implicit data. Experiment results have confirmed improvements over state-of-the-art models.

Identificador

http://hdl.handle.net/10536/DRO/DU:30088962

Idioma(s)

eng

Publicador

Deakin University, Faculty of Science, Engineering and Built Environment, School of Information Technology

Relação

http://dro.deakin.edu.au/eserv/DU:30088962/liu-agreement-2016.pdf

http://dro.deakin.edu.au/eserv/DU:30088962/liu-relativepreference-2016A.pdf

Direitos

The Author. All Rights Reserved

Palavras-Chave #Computing #Preference Relation #Data sets #Data manipulation #Web 2.0
Tipo

Thesis