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Title: | A Spreading Activation Approach for e-Commerce Site Selection System |
Authors: | Nilamit Nilas Phongchai Nilas Kasiphan Masakul |
Keywords: | Website Monitoring Customer Behavior Selection System Collaborative Filtering Evaluation e-Commerce |
Issue Date: | November-2007 |
Publisher: | Proceedings of the International Conference on e-Business 2007 |
Citation: | Nov-2007 |
Abstract: | 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. |
URI: | http://dspace.spu.ac.th/handle/123456789/3921 |
Appears in Collections: | INF-04. บทความที่ประชุมวิชาการ (ระดับนานาชาติ) |
Files in This Item:
File | Description | Size | Format | |
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INCEB2007_SAA_Masakul_Submitted.pdf | 205.06 kB | Adobe PDF | View/Open |
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