A comparison of MCDM techniques for product recommendation | |
| Author | Kanokporn Klangboonkrong |
| Call Number | AIT Thesis no. IM-01-06 |
| Subject(s) | Electronic commerce Multiple criteria decision making Product management |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Advanced Technologies |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. IM-01-06 |
| Abstract | Recently, e-commerce has become popular and competition in the world of business-tocustomer electronic commerce has intensified. It is more important than ever to attract business and retain customers. Personalization is involved for customizing some features of a product or service in order that the customer enjoy more convenience, low cost, or some other benefit. Many of the personalized Web sites use recommender system to help their customers find product to purchase. Computer-Assisted Self-Explication (CASE) is a personalization technology that uses knowledge about users and products to generate recommendations. The recommendations can be improved by utilizing MCDM techniques. In this study, mobile phone recommender system has been developed for implementing CASE and MCDM methods - SMART and AHP. The system users are required to evaluate the satisfaction of the performance of both SMART and AHP. A majority of them have considered that SMART provides higher quality recommendations than AHP. |
| Year | 2001 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. IM-01-06 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Haddawy, Peter; |
| Examination Committee(s) | Phan Minh Dung;Vatcharaporn Esichaikul ; |
| Scholarship Donor(s) | Royal Thai Government |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2001 |