E-Commerce Intelligent Recommendation Service based on association rules--an example explanation

Learning Goals

Understand how the site records the user's access data, in-depth understanding of how the site based on the user's historical Access data for association rules analysis, solve the Web page intelligent recommendation problem, while in the access data to extract the user's access characteristics, the user group division, for different user groups to recommend.

Objective: To understand how the site records the user's access data, in-depth understanding of how the site based on the user's historical Access data for association rules analysis, solve the Web page intelligent recommendation problem, while in the access data to extract the user's access characteristics, the user group division, for different user groups to recommend. Course Features: Web site Smart Recommendations practical cases to explain the applicable crowd: Mathematics, data Mining Professional, digital modeling, IT industry preferential way: No course Details: The site can use user browsing records, analysis of the user access to certain pages under the premise, may visit the page, the site can be recommended for such rules Web page           At the same time, from the user browsing records can analyze the customer's attention preferences, according to the characteristics of each customer group, can take some marketing tools and strategies. To help customers, but also improve customer satisfaction of business activities. This course begins with a brief introduction to the user's access data, and then analyzes the user's access data from the association rules and cluster two angles to obtain the recommended results. The main analysis software is MATLAB, while some models will also use SAS and SPSS to realize

Course Catalogue (total 3 sections)

• e-Commerce Intelligent Recommendation Service based on association rules
• the e-Commerce intelligent Recommendation Service based on association rules
• e-Commerce Intelligent Recommendation Service based on association rules

Teacher IntroductionMr. Yun

Master of Science, Zhongshan University, engaged in user data analysis and data mining work for many years, the user behavior analysis method, the city ...

Registration Address: http://ke.qq.com/cgi-bin/courseDetail?course_id=63369&from=32

E-Commerce Intelligent Recommendation Service based on association rules--an example explanation