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1 Ergebnisse
1
Graph-based Weakly Supervised Framework for Semantic Releva..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Zeng, Zhiyuan
;
Huang, Yuzhi
;
Wu, Tianshu
... - p. 3634-3643 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557143
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557143&Exemplar=1&LAN=DE A1 Zeng, Zhiyuan A1 Huang, Yuzhi A1 Wu, Tianshu A1 Deng, Hongbo A1 Xu, Jian A1 Zheng, Bo PB ACM YR 2022 K1 contrastive learning K1 deep neural networks K1 e-commerce K1 semantic matching K1 weakly supervised learning K1 Information systems K1 Information retrieval K1 Information retrieval query processing K1 Query representation K1 Evaluation of retrieval results K1 Relevance assessment K1 Retrieval models and ranking K1 Similarity measures SP 3634 OP 3643 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557143 DO https://dl.acm.org/doi/10.1145/3511808.3557143 SF ELIB - SuUB Bremen
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