Exploring cross-modality utilization in recommender systems
Multimodal recommender systems alleviate the sparsity of historical user-item interactions. They are commonly catalogued based on the type of auxiliary data (modality) they leverage, such as preference data plus user-network (social), user/item texts (textual), or item images (visual) respectively....
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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5950 https://ink.library.smu.edu.sg/context/sis_research/article/6953/viewcontent/ic21.pdf |
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Institution: | Singapore Management University |
Language: | English |
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