Virual Oral Presentation Slide by Slide |
![]() |
![]() |
|
|
Evaluation 1 Applying 5-fold cross validation strategy: 80% of the data is trained; 20% is tested randomly. The number of neighbors used for ranking k ¡ô N, is differentiated from 10 to 50 Compute predicting ratings of 3 recommendation algorithms: Item-based collaborative filtering, Content-based filtering, and our proposed Dynamic weighed hybrid filtering |
[Go to Next Slide] |