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Information Retrieval

Authors and titles for recent submissions

[ total of 87 entries: 1-10 | 11-20 | 21-30 | 31-40 | ... | 81-87 ]
[ showing 10 entries per page: fewer | more | all ]

Mon, 6 May 2024 (showing first 10 of 18 entries)

[1]  arXiv:2405.02261 [pdf, other]
Title: Comparing Personalized Relevance Algorithms for Directed Graphs
Comments: 4 pages, 1 figure. To appear at 2024 IEEE 40th International Conference on Data Engineering (ICDE)
Subjects: Information Retrieval (cs.IR); Computers and Society (cs.CY)
[2]  arXiv:2405.02219 [pdf, other]
Title: FairEvalLLM. A Comprehensive Framework for Benchmarking Fairness in Large Language Model Recommender Systems
Authors: Yashar Deldjoo
Subjects: Information Retrieval (cs.IR)
[3]  arXiv:2405.02156 [pdf, other]
Title: How to Diversify any Personalized Recommender? A User-centric Pre-processing approach
Subjects: Information Retrieval (cs.IR)
[4]  arXiv:2405.02141 [pdf, other]
Title: Multi-Objective Recommendation via Multivariate Policy Learning
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[5]  arXiv:2405.02050 [pdf, other]
Title: Ah, that's the great puzzle: On the Quest of a Holistic Understanding of the Harms of Recommender Systems on Children
Comments: 7 pages, 2 figures, DCDW 2024
Journal-ref: Designing for Children's Digital Well-being: A Research, Policy and Practice Agenda (DCDW '24), co-located with ACM IDC 2024
Subjects: Information Retrieval (cs.IR)
[6]  arXiv:2405.02048 [pdf, ps, other]
Title: Comparative Analysis of Retrieval Systems in the Real World
Subjects: Information Retrieval (cs.IR); Artificial Intelligence (cs.AI)
[7]  arXiv:2405.02026 [pdf, other]
Title: Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
Journal-ref: FAccT 2024
Subjects: Information Retrieval (cs.IR)
[8]  arXiv:2405.01855 [pdf, ps, other]
Title: Robust Explainable Recommendation
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[9]  arXiv:2405.01849 [pdf, ps, other]
Title: Stability of Explainable Recommendation
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[10]  arXiv:2405.01848 [pdf, other]
Title: RankSHAP: a Gold Standard Feature Attribution Method for the Ranking Task
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[ total of 87 entries: 1-10 | 11-20 | 21-30 | 31-40 | ... | 81-87 ]
[ showing 10 entries per page: fewer | more | all ]

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