Author : John Kalung Leung
Affiliation : George Mason University
Country : USA
Category : Computer Science & Information Technology
Volume, Issue, Month, Year : 11, 01, January, 2021
This paper utilizes an ingenious text-based affective aware pseudo association method (AAPAM) to link disjoint pseudo users and items across different information domains and leverage them to make cross-domain content-based and collaborative filtering recommendations. This paper demonstrates that the AAPAM method could seamlessly join different information domain datasets to act as one without any additional cross-domain information retrieval protocols. Besides making cross-domain recommendations, the benefit of joining datasets from different information domains through AAPAM is that it eradicates cold start issues while making serendipitous recommendations.
Keyword : Behavioral Analysis, Emotion-aware Recommender System, Emotion prediction, Personality, Pseudo Users Association.
For More Details : https://aircconline.com/csit/papers/vol11/csit110108.pdf