Abstract
There is an increasing need for various Web-service, e-commerce and e-business sites to provide personalized recommendations to on-line customers. This paper proposes a new type of personalized recommendation agents called fuzzy cognitive agents. Fuzzy cognitive agents are designed to give personalized suggestions based on the user's current personal preferences, other user's common preferences, and an expert's domain knowledge. Fuzzy cognitive agents are able to represent knowledge via extended fuzzy cognitive maps, learn users' preferences from most recent cases, and help customers make inferences and decisions through numeric computation instead of symbolic and logic deduction. A case study is included to illustrate how personalized recommendations are made by fuzzy cognitive agents in e-commerce sites. The case study demonstrates that the fuzzy cognitive agent is both flexible and effective in supporting e-commerce applications.
| Original language | English |
|---|---|
| Title of host publication | WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering |
| Editors | Wee Keong Ng, Tok Wang Ling, Angela Goh, Umeshwar Dayal, Elisa Bertino |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 362-371 |
| Number of pages | 10 |
| ISBN (Electronic) | 0769517668, 9780769517667 |
| DOIs | |
| Publication status | Published - 2002 |
| Event | 3rd International Conference on Web Information Systems Engineering, WISE 2002 - Singapore, Singapore Duration: 12 Dec 2002 → 14 Dec 2002 |
Publication series
| Name | WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering |
|---|
Conference
| Conference | 3rd International Conference on Web Information Systems Engineering, WISE 2002 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 12/12/02 → 14/12/02 |
Bibliographical note
Publisher Copyright:© 2002 IEEE.
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