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Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1

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Tat-Seng ChuaAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 40, Issue 2

Article No.: 21, Pages 1 - 5

https://doi.org/10.1145/3477596

Published: 27 September 2021 Publication History

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Cited By

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Lalor JAbbasi AOketch KYang YForsgren N(2024)Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning PipelinesACM Transactions on Information Systems10.1145/364127642:4(1-41)Online publication date: 22-Mar-2024
https://dl.acm.org/doi/10.1145/3641276
Li HZhang ZWang XZhu W(2023)Invariant Node Representation Learning under Distribution Shifts with Multiple Latent EnvironmentsACM Transactions on Information Systems10.1145/360442742:1(1-30)Online publication date: 18-Aug-2023
https://dl.acm.org/doi/10.1145/3604427

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Published In

ACM Transactions on Information Systems Volume 40, Issue 2

April 2022

587 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/3484931

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2021

Published in TOIS Volume 40, Issue 2

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Lalor JAbbasi AOketch KYang YForsgren N(2024)Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning PipelinesACM Transactions on Information Systems10.1145/364127642:4(1-41)Online publication date: 22-Mar-2024
https://dl.acm.org/doi/10.1145/3641276
Li HZhang ZWang XZhu W(2023)Invariant Node Representation Learning under Distribution Shifts with Multiple Latent EnvironmentsACM Transactions on Information Systems10.1145/360442742:1(1-30)Online publication date: 18-Aug-2023
https://dl.acm.org/doi/10.1145/3604427

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Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2

Explainable Sequential Recommendation using Knowledge Graphs

Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation

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