摘要
据调查,当今社会中,有不少人存在"选择吃什么"的困难症,为解决这一问题,文章设计了一种菜谱个性化推荐系统。该系统分为客户端和服务端,服务端进行系统的推荐计算,该推荐计算应用了基于内容的推荐算法,应用过程如下:首先,当一个新用户在客户端注册该系统时,系统会收集用户偏好属性以及用户基本信息;其次,系统把收集到的用户基本信息和用户偏好属性提交到服务端,服务端通过已经建立好的用户偏好属性、菜谱属性、用户信息模型进行推荐计算;最后,服务端把计算结果反馈到客户端,客户端显示给用户的推荐列表。实验结果表明,该推荐系统可以较为准确地给用户推荐菜谱。
According to the survey, in today's society, there are many people exist "choose to eat what" difficulties. To solve this problem, the article designed a recipe personalized recommendation system. The system is divided into the client and the server,the server side of the system recommended calculation that its the content-based recommendation algorithm. First of all, when a new user in the client registration of the system, the system will collect user preferences and user basic information, and then the system to collect the basic user information and user preferences attribute submitted to the server, the server through that has established a user preferences attributes, recipe attributes, user information model recommended calculation, and then the results of the feedback to the client, the formation of recommended list recommended to the user. Experimental results show that the recommendation system can be more accurate to the user recommended recipes.
出处
《电脑知识与技术（过刊）》
2017年第7X期81-82,100,共3页
Computer Knowledge and Technology
基金
国家自然科学基金(61562086
61462079
61363083
61262088)
新疆"万人计划"后备项目(wr2015bj01)
关键词
选择困难
菜谱
个性化
推荐系统
基于内容推荐
select difficulty
recipes
personalization
recommendation system
content-based recommendation
