Research on Recommendation Systems for E-commerce based on web mining
Qin Yao · Journal of Changsha Telecommunications and Technology Vocational College · 2013
The industry of E-commerce develops fast, which makes the gradual theoretical research of Recommendation Systems for E-Commerce based on web mining. Web mining, as an application form of data mining, is the core of Recommendation Systems for E-Commerce. According to the web mining theory, this paper discusses the architectural model of Recommendation Systems for E-Commerce, which includes both the offline part and online part. Recommendation algorithm is the core of the realization of recommendation system technology of E-commerce. Its stability, accuracy, objectivity, and efficiency are the inevitable requirement to the realization of personalized service. Association rules algorithm and User Interests Transmission are the mainstream algorithms of recommendation system.