Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications 2023
DOI: 10.2174/9789815136746123010007
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Towards Recommender Systems Integrating Contextual Information from Multiple Domains through Tensor Factorization

Douglas Véras,
André Nascimento,
Gustavo Callou

Abstract: Traditionally, single-domain recommender systems (SDRS) can suggest suitable products for users to alleviate information overload. Nonetheless, cross-domain recommender systems (CDRS) have enhanced SDRS by accomplishing specific objectives, such as improving precision and diversity and solving cold-start and sparsity issues. Rather than considering each domain separately, CDRS uses information gathered from a particular domain (e.g., music) to enhance recommendations for another domain (e.g., films). Context-a… Show more

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