Indexable Bayesian personalized ranking for efficient top-k recommendation

Indexable Bayesian personalized ranking for efficient top-k recommendation

Top-k recommendation seeks to deliver a personalized recommendation list of k items to a user. The dual objectives are (1) accuracy in identifying the items a user is likely to prefer, and (2) efficiency in constructing the recommendation list in real time. One direction towards retrieval efficiency...

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Bibliographic Details
Main Authors: LE, Dung D., LAUW, Hady W.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
indexing
retrieval efficiency
top-k recommendation
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/3884
https://ink.library.smu.edu.sg/context/sis_research/article/4886/viewcontent/IndexableBaynesianPersonalizedRanking_2017.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3884
https://ink.library.smu.edu.sg/context/sis_research/article/4886/viewcontent/IndexableBaynesianPersonalizedRanking_2017.pdf

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