Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation

Jae-woong Lee; Minjin Choi; Lee Sael; Hyunjung Shim; Jongwuk Lee

doi:10.1007/s10115-022-01667-8

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JOURNAL ARTICLE

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation

Jae-woong Lee Minjin Choi Lee Sael Hyunjung Shim Jongwuk Lee

Year: 2022 Journal: Knowledge and Information Systems Vol: 64 (5)Pages: 1323-1348 Publisher: Springer Science+Business Media

DOI: 10.1007/s10115-022-01667-8

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Keywords:

Distillation Computer science Recommender system Collaborative filtering Information retrieval Process engineering Chromatography Chemistry Engineering

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Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Bandit Algorithms Research

Social Sciences → Decision Sciences → Management Science and Operations Research

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation

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Citation History

Topics

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