A Spreading Activation Approach for e-Commerce Site Selection System
| dc.contributor.author | Nilamit Nilas | en_US |
| dc.contributor.author | Phongchai Nilas | en_US |
| dc.contributor.author | Kasiphan Masakul | en_US |
| dc.date.accessioned | 2555-08-23T04:02:47Z | |
| dc.date.available | 2555-08-23T04:02:47Z | |
| dc.date.issued | 2550-11 | |
| dc.description.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. | en_US |
| dc.identifier.citation | Nov-2007 | en_US |
| dc.identifier.uri | https://dspace.spu.ac.th/handle/123456789/3921 | |
| dc.publisher | Proceedings of the International Conference on e-Business 2007 | en_US |
| dc.subject | Website Monitoring | en_US |
| dc.subject | Customer Behavior | en_US |
| dc.subject | Selection System | en_US |
| dc.subject | Collaborative Filtering | en_US |
| dc.subject | Evaluation e-Commerce | en_US |
| dc.title | A Spreading Activation Approach for e-Commerce Site Selection System | en_US |
| dc.type | Article | en_US |