Compositional coding for collaborative filtering

Compositional coding for collaborative filtering

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,...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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