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User Profile Mining and Personalization of Web Services

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 105 - Number 13
Year of Publication: 2014
Authors:
Preeti Khare
Vandan Tewari
Nirmal Dagdee
10.5120/18436-9501

Vandan Tewari Preeti Khare and Nirmal Dagdee. Article: User Profile Mining and Personalization of Web Services. International Journal of Computer Applications 105(13):12-15, November 2014. Full text available. BibTeX

@article{key:article,
	author = {Preeti Khare, Vandan Tewari and Nirmal Dagdee},
	title = {Article: User Profile Mining and Personalization of Web Services},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {105},
	number = {13},
	pages = {12-15},
	month = {November},
	note = {Full text available}
}

Abstract

Web Services are defined as software systems designed to support interoperable machine-to-machine interaction over a network using standardized XML messages. Since user's expectations and requirements constantly change, it is important to include their preferences in offering of web services. A user profile, used in web service personalization, is a structured construct containing information both directly and indirectly pertaining to a user's preferences, behavior and context. Effective personalization requires services to build and maintain accurate models of a customer's preferences, interests and background through a user profile. Building effective user profiles can benefit from different research contributions in different areas, including security, statistical prediction and mining etc. In this paper we focus on the dynamic evaluation of user profiles for personalization of web services based on service usage log.

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