Ensemble techniques for predicting the consumer rating of movies | |
| Author | Bhattarai, Suresh Raj |
| Call Number | AIT RSPR no.IM-10-03 |
| Subject(s) | Consumers--Attitudes Consumers' preferences Motion pictures--Ratings |
| Note | A research study Submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-10-03 |
| Abstract | Making a match of appropriate products to appropriate consumers has become a key to success in business since it helps in providing higher consumer satisfaction. That’s why, personalized services with the best recommendation system has been in high demand. One of the key factors for the success of best recommendation lies in the accuracy of the system. The more the system is accurate, the more likely will be the system’s ability to recommend with the most appropriate product. This research is based on AusDM 2009 Analytic Challenge where the study and analysis was made on the data provided by Netflix Inc. so as to make an innovative effort of improving the accuracy of existing online movie recommendation system. This study is more focused on using ensemble techniques for increasing the performance of the system in order to predict the consumer movie ratings more accurately. The main objective of this research study and also of AusDM challenge is to use the data provided by Netflix Inc. in order to combine the individual model predictors to increase the overall performance of the recommendation system. This study presents ensemble approaches like Bagging, Hill Climbing and Adaboost and makes the comparative analysis of those methodologies. |
| Year | 2010 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-10-03 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Guha, Sumanta; |
| Examination Committee(s) | Dung, Phan Minh;Janecek, Paul; |
| Scholarship Donor(s) | Asian Development Bank - Japan Scholarship Program (ADB-JSP); |
| Degree | Research report (M. Sc.) - Asian Institute of Technology, 2010 |