7 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Making Cross-Domain Recommendations by Associating Disjoint Users and Items Through the Affective Aware Pseudo Association Method
John Kalung Leung, Igor Griva, William G. Kennedy
This paper utilizes an ingenious text-based affective aware pseudo association method (AAPAM) to link disjoint users and items across different information domains and leverage the…
Unsupervised Selective Manifold Regularized Matrix Factorization
Priya Mani, Carlotta Domeniconi, Igor Griva
Manifold regularization methods for matrix factorization rely on the cluster assumption, whereby the neighborhood structure of data in the input space is preserved in the factoriza…
Text-based Emotion Aware Recommender
John Kalung Leung, Igor Griva, William G. Kennedy
We apply the concept of users' emotion vectors (UVECs) and movies' emotion vectors (MVECs) as building components of Emotion Aware Recommender System. We built a comparative platfo…
Using Affective Features from Media Content Metadata for Better Movie Recommendations
John Kalung Leung, Igor Griva, William G. Kennedy
This paper investigates the causality in the decision making of movie recommendations through the users' affective profiles. We advocate a method of assigning emotional tags to a m…