Beyond Personalization: Research Directions in Multistakeholder Recommendation

1 May 2019

Papers citing "Beyond Personalization: Research Directions in Multistakeholder Recommendation"

11 / 11 papers shown

Title
A Fairness-aware Hybrid Recommender System G. Farnadi Pigi Kouki Spencer K. Thompson S. Srinivasan Lise Getoor FaML 57 60 0 13 Sep 2018
Exploring Author Gender in Book Rating and Recommendation Michael D. Ekstrand Daniel Kluver FaML 55 114 0 22 Aug 2018
An Algorithmic Framework to Control Bias in Bandit-based Personalization L. E. Celis Sayash Kapoor Farnood Salehi Nisheeth K. Vishnoi 47 20 0 23 Feb 2018
A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders Phong H. Nguyen J. Dines Jan Krasnodebski 24 33 0 02 Aug 2017
Price and Profit Awareness in Recommender Systems Dietmar Jannach G. Adomavicius 47 50 0 25 Jul 2017
New Fairness Metrics for Recommendation that Embrace Differences Sirui Yao Bert Huang 28 38 0 29 Jun 2017
Beyond Parity: Fairness Objectives for Collaborative Filtering Sirui Yao Bert Huang FaML 40 366 0 24 May 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 165 1,206 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 192 4,301 0 07 Oct 2016
Empirical Analysis of Predictive Algorithms for Collaborative Filtering J. Breese David Heckerman C. Kadie 413 5,911 0 30 Jan 2013
Maximizing profit using recommender systems Aparna Das Claire Mathieu Daniel Ricketts 98 40 0 25 Aug 2009