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Using Stable Matching to Optimize the Balance between Accuracy and
  Diversity in Recommendation

Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation

5 June 2020
Farzad Eskandanian
B. Mobasher
ArXiv (abs)PDFHTML

Papers citing "Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation"

5 / 5 papers shown
Title
Two-Sided Manipulation Games in Stable Matching Markets
Two-Sided Manipulation Games in Stable Matching Markets
Hadi Hosseini
Grzegorz Lisowski
Shraddha Pathak
15
0
0
31 May 2025
Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives
Hadi Hosseini
Duohan Zhang
98
0
0
30 Nov 2024
A Survey on Popularity Bias in Recommender Systems
A Survey on Popularity Bias in Recommender Systems
Anastasiia Klimashevskaia
Dietmar Jannach
Mehdi Elahi
C. Trattner
234
42
0
02 Aug 2023
When Newer is Not Better: Does Deep Learning Really Benefit
  Recommendation From Implicit Feedback?
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Yushun Dong
Jundong Li
Tobias Schnabel
81
9
0
02 May 2023
User-centered Evaluation of Popularity Bias in Recommender Systems
User-centered Evaluation of Popularity Bias in Recommender Systems
Himan Abdollahpouri
M. Mansoury
Robin Burke
B. Mobasher
E. Malthouse
165
117
0
10 Mar 2021
1