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Zhang et al., 2020 - Google Patents

Cross-domain recommendation with multiple sources

Zhang et al., 2020

Document ID
5445574598466905553
Author
Zhang Q
Lu J
Zhang G
Publication year
Publication venue
2020 International Joint Conference on Neural Networks (IJCNN)

External Links

Snippet

Data sparsity remains a challenging and common problem in real-world recommender systems, which impairs the accuracy of recommendation thus damages user experience. Cross-domain recommender systems are developed to deal with data sparsity problem …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes

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