Using Affective Features from Media Content Metadata for Better Movie Recommendations (original) (raw)

2020, Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

This paper introduces an ingenious text-based affective aware pseudo association method (AAPAM) to connect disjoint users and items across different information domains and leverage them to make crossdomain 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 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.

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