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MSRA: A Multi-Aspect Semantic Relevance Approach for E-Comm..:
, In:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
,
Jin, Hanqi
;
Tan, Jiwei
;
Liu, Lixin
... - p. 3988-3992 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583780.3615224
RT T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3615224&Exemplar=1&LAN=DE A1 Jin, Hanqi A1 Tan, Jiwei A1 Liu, Lixin A1 Qiu, Lisong A1 Yao, Shaowei A1 Chen, Xi A1 Zeng, Xiaoyi PB ACM YR 2023 K1 e-commerce K1 pre-trained multimodal model K1 semantic matching K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Similarity measures K1 Specialized information retrieval K1 Structure and multilingual text search K1 Structured text search K1 Multimedia and multimodal retrieval K1 Language models SP 3988 OP 3992 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3615224 DO https://dl.acm.org/doi/10.1145/3583780.3615224 SF ELIB - SuUB Bremen
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