iES - An Intelligent Electronic Sales Platform
Current e-commerce systems support online shopping based on electronic product catalogs. The major issues associated with catalog-based commerce systems are: difficulty in distinguishing one retailer from another, complex navigation with confusing links, and a lack of personalized service. This paper reports an intelligent solution to address these issues. Our solution will provide a more personalized sales experience through the use of a transaction-based knowledge model that includes both the rules used for reasoning as well as the corresponding actions. Based on this solution, we have developed an intelligent electronic sales platform that is supported by a framework which provides the desired personalization as well as extensibility and customization capabilities. This paper reports our design and development of this system and application examples.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 15013834
- Report Number(s):
- UCRL-CONF-200487; TRN: US200803%%875
- Resource Relation:
- Conference: Presented at: 6th Annual International Conference on Electronic Commerce Research, Dallas, TX, United States, Oct 23 - Oct 26, 2003
- Country of Publication:
- United States
- Language:
- English
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