Title
Identifying Purchase-Stage by Applying Pattern Mining to Web Access Logs
Abstract
We propose a method of identifying purchase-stage to enhance the success rate of recommendations. When a user purchases a commodity through the Web, she goes through several stages, for example, " Interest in commodity, Search for commodity, Comparison of commodities, Action of purchasing". To increase the purchase rate, we need to identify the different purchase stages and construct web sites so that they better support each purchase-stage. This paper hypothesizes that the purchase-stage of the user is evidenced by his/her web-access pattern. An experiment is conducted to collect the Web access logs of several subjects when they purchase commodities on electronic commerce (EC) sites. The proposed method is shown to approximately discriminate the purchase-stages.
Year
DOI
Venue
2012
10.1109/SNPD.2012.89
SNPD
Keywords
Field
DocType
web-access pattern,user purchase,web access log,purchase rate,success rate,web access logs,paper hypothesizes,different purchase stage,web site,identifying purchase-stage,electronic commerce,pattern mining,information retrieval,information processing,web,web pages,recommender systems,interviews,data mining,visualization
Recommender system,World Wide Web,Information processing,Web page,Visualization,Web access,Computer science,Commodity,Purchasing
Conference
Citations 
PageRank 
References 
1
0.36
2
Authors
3
Name
Order
Citations
PageRank
Manabu Motegi1405.18
Yusuke Ichikawa2345.33
Toru Kobayashi32420.21