基于双层图模型的电子商务推荐算法

2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) Pub Date : 2016-10-01 DOI:10.1109/IIKI.2016.53

Li Pan, Xiaosha Xu, Zhimeng Tan, Xin Peng

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引用次数: 2

摘要

电子商务或其他应用网站已经应用了推荐系统来推荐客户可能感兴趣的产品。本文通过添加消费者与产品之间的相似度信息，将二分图细化为两层图模型，提出了度量消费者与产品之间关系的相关度量，并引入了最短路径算法来获得合适的推荐。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Algorithm Based on Two-Layer Graph Model for E-Commerce Recommendation

Recommender systems have been applied by E-commerce or other application sites to recommend their produces that customers might be interested in. This paper refines a bipartite graph to a two-layer graph model by adding the similarity information between consumers and products, the related metric is presented to measure the relationship among them, and the shortest path algorithm is introduced to obtain suitable recommendations.

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来源期刊

2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

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