Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems

Ashish Kumar Sahu; Pragya Dwivedi

doi:10.1016/j.future.2020.02.024

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Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems

Ashish Kumar Sahu Pragya Dwivedi

Year: 2020 Journal: Future Generation Computer Systems Vol: 108 Pages: 320-333 Publisher: Elsevier BV

DOI: 10.1016/j.future.2020.02.024

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Keywords:

Computer science Recommender system Matrix decomposition Stochastic gradient descent Collaborative filtering Domain (mathematical analysis) Domain knowledge Gradient descent Transfer of learning Constraint (computer-aided design) Artificial intelligence Data mining Machine learning Artificial neural network Mathematics

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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

Expert finding and Q&A systems

Physical Sciences → Computer Science → Information Systems

Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems

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Citation History

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