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| Author: | Yuan, S.-T. |
| Title: | A personalized and integrative comparison-shopping engine and its applications |
| Journal: | Decision Support Systems
2003 : JAN, VOL. 34:2, p. 139-156 |
| Index terms: | LEARNING NEURAL NETWORKS CONSUMERS VALUATION MODELS |
| Language: | eng |
| Abstract: | Agents are the catalysts for commerce on the Web today. For example, comparison-shopping agents mediate the interactions between consumers and suppliers in order to yield markets that are more efficient. However, today's shopping agents are price-dominated, unreflective of the nature of supplier/consumer differentiation or the changing course of differentiation over time. This paper aims to tackle this dilemma and advances shopping agents into a stage where both kinds of differentiation are taken into account for enhanced understanding of the realities. The authors call them personalized and integrative shopping agents. These agents can leverage the interactive power of the Web for a more accurate understanding of consumer's preferences. |
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