A recommendation scheme by user preference to components
A recommendation scheme by user preference to components
- Author(s): Zemeng Feng ; Lifang Wu ; Yuchen Jing ; Dan Wang ; Hongjia Zhang ; Cheng Zhang
- DOI: 10.1049/cp.2015.1250
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- Author(s): Zemeng Feng ; Lifang Wu ; Yuchen Jing ; Dan Wang ; Hongjia Zhang ; Cheng Zhang Source: IET International Radar Conference 2015, 2015 page ()
- Conference: IET International Radar Conference 2015
- DOI: 10.1049/cp.2015.1250
- ISBN: 978-1-78561-038-7
- Location: Hangzhou, China
- Conference date: 14-16 Oct. 2015
- Format: PDF
Recommender system has been more and more popular no matter in e-commerce or social-multimedia. In this paper, we analyze that in most cases a person's preference to an item is influenced by his/her preference to the components of the item. In conclusion, taking food recommendation for example, we propose a recommendation scheme to item-components-item. We firstly collect user ratings to dishes, and then we decompose the dish ratings to the ingredient ratings. Finally the rating for a new dish is estimated by the user ratings to the ingredients. The experimental results indicate that the proposed approach can achieve recipe recommendation more efficiently.
Inspec keywords: multimedia communication; recommender systems; social networking (online); electronic commerce
Subjects: Multimedia; Social and behavioural sciences computing; Multimedia communications; Information networks
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