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1
ItemSage: Learning Product Embeddings for Shopping Recommen..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Baltescu, Paul
;
Chen, Haoyu
;
Pancha, Nikil
... - p. 2703-2711 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539170
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539170&Exemplar=1&LAN=DE A1 Baltescu, Paul A1 Chen, Haoyu A1 Pancha, Nikil A1 Zhai, Andrew A1 Leskovec, Jure A1 Rosenberg, Charles PB ACM YR 2022 K1 multi-modal learning K1 multi-task learning K1 recommender systems K1 representation learning K1 Information systems K1 Information retrieval K1 Specialized information retrieval K1 Multimedia and multimodal retrieval K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Multi-task learning SP 2703 OP 2711 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539170 DO https://dl.acm.org/doi/10.1145/3534678.3539170 SF ELIB - SuUB Bremen
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