CHESTNUT: Improve serendipity in movie recommendation by an Information Theory-based collaborative filtering approach

Peng, Xiangjun and Zhang, Hongzhi and Zhou, Xiaosong and Wang, Shuolei and Sun, Xu and Wang, Qingfeng (2019) CHESTNUT: Improve serendipity in movie recommendation by an Information Theory-based collaborative filtering approach. Working Paper. Unpublished. (Unpublished)

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Abstract

The term serendipity has been understood narrowly in the Recommender System. Applying a user-centered approach, user-friendly serendipitous recommender systems are expected to be developed based on a good understanding of serendipity. In this paper, we introduce CHESTNUT , a memory-based movie collaborative filtering system to improve serendipity performance. Relying on a proposed Information Theory-based algorithm and previous study, we demonstrate a method of successfully injecting insight, unexpectedness and usefulness, which are key metrics for a more comprehensive understanding of serendipity, into a practical serendipitous runtime system. With lightweight experiments, we have revealed a few runtime issues and further optimized the same. We have evaluated CHESTNUT in both practicability and effectiveness , and the results show that it is fast, scalable and improves serendip-ity performance significantly, compared with mainstream memory-based collaborative filtering. The source codes of CHESTNUT are online at https://github.com/unnc-idl-ucc/CHESTNUT/.

Item Type: Monograph (Working Paper)
Keywords: Serendipity; RecommederSystems; InformationTheory
Schools/Departments: University of Nottingham Ningbo China > Faculty of Business > Nottingham University Business School China
University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Related URLs:
URLURL Type
https://www.researchgate.net/publication/336409372_CHESTNUT_Improve_Serendipity_in_Movie_Recommendation_by_an_Information_Theory-based_Collaborative_Filtering_ApproachUNSPECIFIED
Depositing User: Wu, Cocoa
Date Deposited: 21 May 2020 07:01
Last Modified: 21 May 2020 07:01
URI: http://eprints.nottingham.ac.uk/id/eprint/60667

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