出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：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.
关键词：Behavioral Analysis;Emotion-aware Recommender System;Emotion prediction;Personality;Pseudo Users Association
