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Generating the Top-N recommendations from a large corpus is computationally expensive to perform at scale.
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Fedor Borisyuk, Krishnaram Kenthapadi, David Stein, and Bo Zhao. 2016 · 2016
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Paul Covington, Jay Adams, and Emre Sargin. 2016 · 2016
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The MovieLens Datasets: History and Context
F. Maxwell Harper and Joseph A. Konstan. 2016 · 2016
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Feature Learning Based Deep Supervised Hashing with Pairwise Labels. In IJCAI
Wu-Jun Li, Sheng Wang, and Wang-Cheng Kang. 2016 · 2016
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Learning to Hash for Indexing Big Data - A Survey
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Discrete Collaborative Filtering. In SIGIR
Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, and Tat-Seng Chua. 2016 · 2016
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HashNet: Deep Learning to Hash by Continuation. In ICCV
Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Philip S. Yu. 2017 · 2017
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Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, and Jure Leskovec. 2018 · 2018
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Item recommendation on monotonic behavior chains. In RecSys
Mengting Wan and Julian McAuley. 2018 · 2018
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A Survey on Learning to Hash
Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen. 2018 · 2018
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Learning Tree-based Deep Model for Recommender Systems. In SIGKDD
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