计算机应用研究2018，Vol.35Issue(2)：358-361,371,5.DOI:10.3969/j.issn.1001-3695.2018.02.009
基于兴趣感知和时间因子的个性化菜品推荐
Preference-aware and time factor based personalized dish recommendation
摘要
Abstract
Currently,recommendation systems were widely used in a variety of e-commerce sites,but few were for personalized dish recommendations.Focusing on dish recommendation problems of multiple aliases,sparse user-dish matrix and cold start of new users,this paper improved the traditional user-based collaborative filtering algorithm and designed a dish recommendation system that combined expert selection and online recommendation.The expert selection made preparations for user interest model by classifying dish categories,online recommendation selected expert users and candidate dishes at restaurant by using preference-aware selection algorithm,which realized personalized dish recommendations for users.Consequently,by introducing the time-dependent factor in dish selection and the time-forgetting factor in the collaborative filtering,it improved preferenceaware selection algorithm and dish preference prediction performance.The experimental results show that the proposed algorithm improves significantly the accuracy and recommendation efficiency than the traditional one,and it concludes that the introduction of time factor is beneficial to improve the accuracy of dish recommendation.关键词
推荐系统/个性化菜品推荐/兴趣感知/时间因子/菜品层级分类Key words
recommendation system/personalized dish recommendation/preference-aware/time factor/dish hierarchical classification分类
信息技术与安全科学引用本文复制引用
范顺忠,陈浩..基于兴趣感知和时间因子的个性化菜品推荐[J].计算机应用研究,2018,35(2):358-361,371,5.基金项目
国家自然科学基金资助项目(61472132,61472131) （61472132,61472131）
湖南省自然科学基金资助项目(2015JJ2027) （2015JJ2027）
