Abstract:
This paper describes an application of automated website synthesis and uncertainty reasoning for customer preference management (CPM), particularly in the context of web-based customer relationship management (CRM). Stated preference elicited by conjoint analysis and revealed preference acquired by pattern analysis of the interaction history with customers are useful for CRM agents (software agents) to make decisions about further actions to meet probable needs of the same or similar customers. As available preference information is never sufficient, CRM agents must reason under uncertainty. Use of Bayesian networks and algorithms of partially observable Markov decision processes (POMDP) is proposed in reasoning about customer preference under uncertainty. We are also developing a technique of automated website synthesis by using computation logics and Semantic Web languages to facilitate the interactions with different customers.
This could also be of interest:
Research Papers
Automated web services for customer relationship management and market research
Catalogue: ESOMAR Congress 2002: Consolidation Or Renewal?
Authors: Siu-wai Leung, Andy Kung, Tommy J. Tang
Company: Acorn Organization Limited
September 22, 2002
Research Papers
How to create customer preference
Catalogue: ESOMAR/EFMA Seminar 1996: Consumer Trends In Banking And Insurance
Authors: Jim Williams, Marianne Mollmann, Philippe Boutié
 
May 1, 1996
