Paper Info
Title
Adaptive profiling framework and system for service provisioning in e-business solutions
Abstract
Effective profiling of consumer and service information is critical to today's e-business solutions. Typically, each service has its individual profiling requirements in addition to the basic profiling requirements common to all services. The challenge is to build a flexible profiling system to dynamically collect relevant consumer data and accommodate a variety of profiling requirements of different services. To address this challenge, this paper introduces a two-phase profiling framework based on a service hub that provides the infrastructure for service hosting, aggregation, and provisioning. The profiling framework supports two profiling mechanisms, namely Delegated Profiling and Punchout Profiling. Using the proposed Data Driven Dynamic Form, the Delegated Profiling enables a cost-effective way to collect service specific information from a consumer beyond the basic profiling requirements. Punchout Profiling enables seamless integration between an individual service's profiling system and the service hub through the use of the Profiling Punchout Protocol.
Year
DOI
Venue
2004
10.1016/j.elerap.2004.02.005
Electronic Commerce Research and Applications
Keywords
Field
DocType
e-Business,Services provisioning,Profiling,Data driven dynamic form,Delegated profiling,Punchout profiling
Data science,Service provisioning,World Wide Web,Electronic business,Data-driven,Computer science,Profiling (computer programming),Provisioning,Specific-information,Marketing
Journal
Volume
Issue
ISSN
3
2
1567-4223
Citations 
PageRank 
References 
3
2.19
4
Authors
7
Name
Order
Citations
PageRank
Shunxiang Yang1537.61
Liang-Jie Zhang2982138.17
Tian Chao312117.55
Jing Min Xu46710.98
Ying Nan Zuo533.20
Zhong Tian632.19
Henry Chang7125997.75