%0 Electronic Article %A Zemeng Feng %+ Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing %A Lifang Wu %+ Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing %A Yuchen Jing %+ Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing %A Dan Wang %+ Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing %A Hongjia Zhang %+ Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing %A Cheng Zhang %+ Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing %K e-commerce %K social multimedia %K recommendation scheme %K recommender system %X 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. %T A recommendation scheme by user preference to components %B IET Conference Proceedings %D January 2015 %P 4 .-4 . %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=8j3nclo3cqbmt.x-iet-live-01content/conferences/10.1049/cp.2015.1250 %G EN