Personalized meta-search engine | |
| Author | Patipat Korbsook |
| Call Number | AIT Thesis no.IM-02-04 |
| Subject(s) | Search engines Electronic information resource searching |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis no. IM-02-04 |
| Abstract | This thesis describes a method for a personalized meta-search engine. The proposed method produced a personalized search result by combining the concept of explicit and implicit interest of user. The user interest and preferences are stored as user profile. The profile is then used as the result ordering policy. Rocchio algorithm is employed to adapt the term weights in the user profile so that user's preferences are best represented. The system divided searching into two type of searching, short-term for the short -term interest search and long-term for the long-term interest search. Both type of searches used the user profile as the results ordering policy. The different is that, the long-term search method analyzes user's reaction to the represented documents. The user action is directly observed and learned to extract the user interest implicitly. The proposed method show superior . performance in personalized search result in both type of searches compared to the result ordered by conventional meta-search engine. |
| Year | 2002 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. IM-02-04 |
| 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) | Vatcharaporn Esichaikul;Guha, Sumanta; |
| Scholarship Donor(s) | The Royal Thai Government Fellowships; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2002 |