Towards source-aligned variational models for cross-domain recommendation

Data sparsity is a long-standing challenge in recommender systems. Among existing approaches to alleviate this problem, cross-domain recommendation consists in leveraging knowledge from a source domain or category (e.g., Movies) to improve item recommendation in a target domain (e.g., Books). In thi...

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Bibliographic Details
Main Authors: SALAH, Aghiles, TRAN, Thanh-Binh, LAUW, Hady W.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/6430
https://ink.library.smu.edu.sg/context/sis_research/article/7433/viewcontent/recsys21.pdf
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Institution: Singapore Management University
Language: English
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