Indexable Bayesian personalized ranking for efficient top-k recommendation

• 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
• Institution: Singapore Management University

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...