Recommender system optimization | |
| Author | Yang, Jiawei |
| Call Number | AIT RSPR no.CS-16-06 |
| Subject(s) | Recommender systems (Information filtering) Computer algorithms |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. CS-16-06 |
| Abstract | Collaborative filtering algorithms are among the most widely used in recommender systems. Since CF algorithms follow a common assumption, that similar users will give similar rating to similar items, I explore four techniques for improving traditional collaborative filtering algorithms, beginning with the Pointwise method. My first technique combines distance and ranking in similarity calculation. The second technique introduces a grade transfer factor between users. The third idea extends common items to similar item pairs supported by an assumption that similar users have similar interests based on similar products, whereas traditional CF algorithms’ common assumption is that similar users have similar interests based on common products. The fourth technique predicts prediction error instead of just focusing on improving the prediction equation. MovieLense-1M is used as the test data set. The best results come from combining techniques 1 and 2, which provide a RMSE of 0.9478355, and from technique 3, with RMSE of 0.97649693, compared a RMSE of 1.050713 from the original Pointwie method I optimize.The results show that technique 1, 2 and 3 can improve NDCG compared with Poinwise, Pairwise, and Listwise. |
| Year | 2016 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. CS-16-06 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Dailey, Matthew N.; |
| Examination Committee(s) | Vatcharaporn Esichaikul ;Guha, Sumanta ; |
| Scholarship Donor(s) | China Scholarship Council; |
| Degree | Rsearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2016 |