Learning Item-Interaction Embeddings for User Recommendations

Xiaoting Zhao
Xiaoting Zhao
Raphael Louca
Raphael Louca
Diane Hu
Diane Hu

arXiv: Information Retrieval, Volume abs/1812.04407, 2018.

Cited by: 2|Bibtex|Views61
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Industry-scale recommendation systems have become a cornerstone of the e-commerce shopping experience. For Etsy, an online marketplace with over 50 million handmade and vintage items, users come to rely on personalized recommendations to surface relevant items from its massive inventory. One hallmark of Etsyu0027s shopping experience is t...More

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