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E-commerce in Your Inbox: Product Recommendations at Scale

, , , , , , and . Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1809--1818. New York, NY, USA, ACM, (2015)
DOI: 10.1145/2783258.2788627

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Smartphone App Categorization for Interest Targeting in Advertising Marketplace., , , , , , , , , and . WWW (Companion Volume), page 93-94. ACM, (2016)E-commerce in Your Inbox: Product Recommendations at Scale., , , , , , and . CoRR, (2016)Gender and Interest Targeting for Sponsored Post Advertising at Tumblr., , , , and . KDD, page 1819-1828. ACM, (2015)Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search., , , , and . SIGIR, page 383-392. ACM, (2015)Learning from Multi-User Activity Trails for B2B Ad Targeting., , and . CoRR, (2019)E-commerce in Your Inbox: Product Recommendations at Scale, , , , , , and . Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1809--1818. New York, NY, USA, ACM, (2015)Understanding Consumer Journey using Attention based Recurrent Neural Networks., , , , and . KDD, page 3102-3111. ACM, (2019)Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content., , , , and . WWW, page 248-255. ACM, (2015)Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting., , , and . ICDM, page 779-784. IEEE Computer Society, (2014)Inferring Advertiser Sentiment in Online Articles using Wikipedia Footnotes., , and . WWW (Companion Volume), page 1224-1231. ACM, (2019)