Title :
The analysis and mining of purchasing behavior in E-commerce
Author :
Su, Xiaoping ; Zhou, Hongyi
Author_Institution :
Sch. of Inf. & Eng., Hu Zhou Teachers Coll., Huzhou, China
Abstract :
The purchasing behavior of users on the internet can directly reflect the user´s preferences and motivation. Retailers can grasp the shopping characteristics of buyers by analyzing the user behavior and sales performance is improved. An E commerce website with behavior analysis features is designed based on the data mining algorithm of association rules. The different buying preferences can be found by analyzing the purchasing behaviors of users with different sexes. Further the personalized recommend for users with different sexes is realized.
Keywords :
Internet; Web sites; consumer behaviour; data mining; electronic commerce; purchasing; retail data processing; Internet; association rules; buying preference; data mining algorithm; e-commerce Web site; purchasing behavior; sale performance; shopping characteristics; user behavior; Algorithm design and analysis; Association rules; Educational institutions; Information filters; Information science; Itemsets; Apriori algorithm; behavioral analysis; data mining; electronic commerce;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974786
