Paper Info
Title
Characterizing and Mitigating the Impact of Data Imbalance for Stakeholders in Recommender Systems
Abstract
ABSTRACT Recommender systems are key tools to push the consumption of items. Imbalances in the data distribution might affect the exposure given to providers, thus affecting their business and experience in the platform. In my work, I study the impact of data imbalances for the stakeholders, according to how recommendations are generated.
Year
DOI
Venue
2020
10.1145/3383313.3411454
RECSYS
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Elizabeth Gómez100.68