Scalable Job Recommendation With Lower Congestion Using Optimal Transport

Scalable Job Recommendation With Lower Congestion Using Optimal Transport

Recommender systems often face <italic>congestion</italic>, characterized by an uneven distribution in the frequency of item recommendations. The presence of congestion in recommendations is especially problematic in domains where users or items have limited availability. For example, re...

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Bibliographic Details
Main Authors: Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Job recommendation
optimal transport
congestion
exposure fairness
aggregate diversity
Online Access:https://ieeexplore.ieee.org/document/10504265/

Internet

https://ieeexplore.ieee.org/document/10504265/

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