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Mining context specific inter-personalised trust for recommendation generation in preference networks
Citation
Bai, Q and Li, W and Jiang, J, Mining context specific inter-personalised trust for recommendation generation in preference networks, 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence. Lecture Notes in Computer Science, volume 9992, 5-8 December 2016, Hobart, Tasmania, pp. 573-584. ISBN 9783319501260 (2016) [Refereed Conference Paper]
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Copyright Statement
Copyright 2016 Springer
DOI: doi:10.1007/978-3-319-50127-7_51
Abstract
This paper introduces a community-based approach to facilitate the generation of high-quality recommendations by leveraging the preferences of communities of similar users in preference networks. The proposed approach combines the idea of traditional recommendation systems and identification of network structures to explore context specific inter-personalised trust relationships among users. From the experimental results, we claim that the proposed approach can provide more accurate recommendations to individuals in a preference network.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | community detection, preference network, recommender system |
| Research Division: | Information and Computing Sciences |
| Research Group: | Computer vision and multimedia computation |
| Research Field: | Pattern recognition |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information systems, technologies and services |
| Objective Field: | Application software packages |
| UTAS Author: | Bai, Q (Dr Quan Bai) |
| ID Code: | 140682 |
| Year Published: | 2016 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2020-09-01 |
| Last Modified: | 2022-09-06 |
| Downloads: | 15 View Download Statistics |
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