Compositional coding for collaborative filtering

• Main Authors: LIU, Chenghao, LU, Tao, WANG, Xin, CHENG, Zhiyong, SUN, Jianling, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Collaborative Filtering; Discrete Hashing; Recommendation; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5100; https://ink.library.smu.edu.sg/context/sis_research/article/6103/viewcontent/Compositional_coding_collaborative_filtering_pv_oa.pdf
• Institution: Singapore Management University

Efficiency is crucial to the online recommender systems, especially for the ones which needs to deal with tens of millions of users and items. Because representing users and items as binary vectors for Collaborative Filtering (CF) can achieve fast user-item affinity computation in the Hamming space,...