ACTL: Adaptive Codebook Transfer Learning for Cross-Domain Recommendation
نویسندگان
چکیده
منابع مشابه
Selective Transfer Learning for Cross Domain Recommendation
Collaborative filtering (CF) aims to predict users’ ratings on items according to historical user-item preference data. In many realworld applications, preference data are usually sparse, which would make models overfit and fail to give accurate predictions. Recently, several research works show that by transferring knowledge from some manually selected source domains, the data sparseness probl...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2896881