A Spreading Activation Approach for e-Commerce Site Selection System
กำลังโหลด...
วันที่
2550-11
ผู้เขียน
ชื่อวารสาร
วารสาร ISSN
ชื่อหนังสือ
สำนักพิมพ์
Proceedings of the International Conference on e-Business 2007
เชิงนามธรรม
This paper presents a dynamic associative network model for e-commerce site selection system based on the psycholinguistic theories of human memory; Spreading Activation Network (SAN). The system is designed to give personalized suggestions based on the user’s current personal preferences, other user’s common preferences, web-link structure, and activation rules. This work employs a SAN as a technique to provide the evaluation and selection mechanism that provides multiple parallel processes for perception by representing dynamic associations among web-links, user activities, and the relevance subjects of the websites. The system attempts to evaluate a number of sites in an unpredictable complex dynamic environment. Spreading activation explains the predictive top-down effect of knowledge. These processes select the group of the most suitable websites (context) in response to the current conditions (e-commerce activities) while the system continues working towards the user objective goal.
คำอธิบาย
คำหลัก
Website Monitoring, Customer Behavior, Selection System, Collaborative Filtering, Evaluation e-Commerce
การอ้างอิง
Nov-2007