140682 - Mining context specific inter-personalised trust for recommendation generation in preference networks.pdf (642.23 kB)
Mining context specific inter-personalised trust for recommendation generation in preference networks
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.
History
Publication title
29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence. Lecture Notes in Computer Science, volume 9992Volume
9992Editors
B Kang and Q BaiPagination
573-584ISBN
9783319501260Department/School
School of Information and Communication TechnologyPublisher
SpringerPlace of publication
New York, United StatesEvent title
29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial IntelligenceEvent Venue
Hobart, TasmaniaDate of Event (Start Date)
2016-12-05Date of Event (End Date)
2016-12-08Rights statement
Copyright 2016 SpringerRepository Status
- Open