| Author | Nguyen Ngoc Minh |
| Call Number | AIT Thesis no.CS-08-11 |
| Subject(s) | Consumer's preferences
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-08-11 |
| Abstract | Many recommender systems have been built to help online consumers to quickly find products suitable to their needs in a huge space of choices. These systems use the technique of eliciting users' preferences to recommend suitable products for them. However, whether these products satisfy users depends on the correctness of preferences which users expressed. For users unfamiliar with the product domain, they may need help from the system to construct their preferences. In traditional interaction between a dealer and a buyer, the dealer can consult or affect his customers. Depending on the target of the seller, he can help users find the most suitable products or try to persuade them to choose the products he wants to sell. We consider how to build an automated sales agent that can act similarly to a human seller to affect online consumers' decision making process, more especially to steer them toward specific items in product space. |
| Year | 2008 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-08-11 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Haddawy, Peter |
| Examination Committee(s) | Zee, Rian Beise;Janecek, Paul, |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2008 |