面向燃气具的用户个性化推荐模型

doi:10.3969/j.issn.1007-7375.2019.06.008

摘要/Abstract

摘要： 基于协同过滤推荐技术，构建了面向燃气具的用户个性化推荐模型。首先，根据用户注册信息与评分信息获取目标用户的相似用户以及偏好产品集；然后，根据目标用户的购买偏好确定产品的评价指标，并对偏好产品集进行评价。最后，通过算例分析证明了提出模型对燃气具个性化推荐的可行性和推荐结果的有效性。

关键词: 燃气具, 协同过滤, 冷启动, 个性化推荐

Abstract: With the development of e-business, more and more gas appliances are transacted in Internet. Personalized recommendation problem becomes more and more important for individual users with different preferences. The objective of this research is to propose a user-based personalized recommendation model for gas appliances. This recommendation model is based on collaborative filtering algorithm, which is mainly divided into two parts. The first part is to obtain similar users of target user and preferred products of the target user, according to the registration information of target users and the their historical preferences for products. The second part is to formulate the purchase preference evaluation criteria of target users and evaluate the performances of preferred products with respect to evaluation criteria. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed recommendation model.

Key words: gas appliances, collaborative filtering, cold start, personalized recommendation

中图分类号:

TP181

禹春霞, 李南南. 面向燃气具的用户个性化推荐模型[J]. 工业工程, 2019, 22(6): 57-66.

YU Chunxia, LI Nannan. A User-based Personalized Recommendation Model for Gas Appliances[J]. Industrial Engineering Journal, 2019, 22(6): 57-66.

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