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The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge for "In-session prediction for purchase intent and recommendations".
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A Dynamic Co-Attention Network for Session-Based Recommendation. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (Beijing, China) (CIKM ’19) . Association for Computing Machinery, New York, NY, USA, 1461–1470
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Empirical Analysis of Session-Based Recommendation Algorithms
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Top sites ranking for E-commerce And Shopping in the world
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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (Beijing, China) (CIKM ’19) . Association for Computing Machinery, New York, NY, USA, 1441–1450
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Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution. In Proceedings of the SIGIR 2020 eCom workshop, July 2020, Virtual Event
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How to Grow a (Product) Tree. Personalized Category Suggestions for eCommerce Type-Ahead. In Companion Proceedings of ACL (Seattle, USA). Association for Computing Machinery, New York, NY, USA
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Challenges and Research Opportunities in eCommerce Search and Recommendations. In SIGIR Forum , Vol. 54
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Yelp dataset
Yelp. 2020 · 2020
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“An Image is Worth a Thousand Features”: Scalable Product Representations for In-Session Type-Ahead Personalization. In Companion Proceedings of the Web Conference 2020 (Taipei, Taiwan) (WWW ’20) . Association for Computing Machinery, New York, NY, USA, 461–470
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TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
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RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, et al · 2020
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Query2Prod2Vec: Grounded Word Embeddings for eCommerce. In NAACL-HLT . Association for Computational Linguistics
Federico Bianchi, Jacopo Tagliabue, and Bingqing Yu. 2021 · 2021
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Shopper intent prediction from clickstream e-commerce data with minimal browsing information
Borja Requena, Giovanni Cassani, Jacopo Tagliabue, Ciro Greco, and Lucas Lacasa. 2020 · 2045
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