Relative preference-based recommender systems
Contribuinte(s) |
Li Gang Beliakov Gleb Xiong, Ping |
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Data(s) |
01/06/2016
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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 | |
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 |