Tackling cold-start with deep personalized transfer of user preferences for cross-domain recommendation

Sepehr Omidvar; Thomas Tran

doi:10.1007/s41060-023-00467-9

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Tackling cold-start with deep personalized transfer of user preferences for cross-domain recommendation

Sepehr Omidvar Thomas Tran

Year: 2023 Journal: International Journal of Data Science and Analytics Vol: 20 (1)Pages: 121-130 Publisher: Springer International Publishing

DOI: 10.1007/s41060-023-00467-9

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Keywords:

Computer science Bridge (graph theory) Cold start (automotive) Domain (mathematical analysis) Recommender system Task (project management) Deep learning Domain knowledge Code (set theory) Transfer of learning Quality (philosophy) Artificial intelligence Machine learning Engineering

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Bandit Algorithms Research

Social Sciences → Decision Sciences → Management Science and Operations Research

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Tackling cold-start with deep personalized transfer of user preferences for cross-domain recommendation

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Citation History

Topics

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