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Relative preference-based recommender systems

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posted on 2016-06-01, 00:00 authored by S Liu
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.

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Pagination

xiv, 138 pages : tables, figures, some coloured

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

PhD.

Copyright notice

The Author. All Rights Reserved

Editor/Contributor(s)

P Xiong, G Li Gang, G Beliakov Gleb

Faculty

Faculty of Science

School

Engineering and Built Environment

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