现代电子技术Issue(11)：13-15,3.
移动用户餐饮个性化需求推荐研究
Research on catering personalized demand recommendation for mobile users
摘要
Abstract
In the personalized recommendation system,collaborative filtering technology is one of the most successful tech⁃nologies in application,which contains a few typical modes:collaborative filtering technologies based on the users,content items,association rules and so on,. These technologies have their own advantages,disadvantages and application fields. By the analysis of the traditional collaborative filtering algorithm,Jaccard coefficient is introduced according to the catering persona⁃lized characteristic of the mobile users. Jaccard coefficient is introduced into collaborative filtering to improve the filtering algo⁃rithm.,An ideal effect was obtained in catering personalized recommendation for mobile users.关键词
个性化/协同过滤/杰卡德系数/相似性Key words
personalization/collaborative filtering/Jaccard coefficient/similarity分类
信息技术与安全科学引用本文复制引用
朱保华,张晓滨..移动用户餐饮个性化需求推荐研究[J].现代电子技术,2015,(11):13-15,3.基金项目
陕西省教育厅科学研究计划项目 （）
