Title :
Subsessions: a granular approach to click path analysis
Author :
Menasalvas, Ernestina ; Millán, Socorro ; Peña, José M. ; Hadjimichae, Michael ; Marbán, Oscar
Author_Institution :
Fac. de Inf., Univ. Politecnica de Madrid, Spain
fDate :
6/24/1905 12:00:00 AM
Abstract :
Electronic, web-based commerce enables and demands the application of intelligent methods to analyze information collected from consumer web sessions. We propose a method of increasing the granularity of the user session analysis by isolating useful subsessions within web page access sessions, where each subsession represents a frequently traversed path indicating high-level user activity. The subsession approximates user state information as well as anticipated user activity, and as a result is useful for personalization and pre-caching
Keywords :
Internet; data mining; electronic commerce; information resources; retail data processing; user interface management systems; click path analysis; electronic commerce; granularity; retailing; subsession; user activity; user session analysis; web log analysis; web page access sessions; web-based commerce; Access protocols; Business; Data mining; Information analysis; Pattern analysis; Performance analysis; Uniform resource locators; Web mining; Web pages; Web server;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006620
