Multi-Stakeholder Recommendation: Applications and Challenges
July 27, 2017 Β· Declared Dead Β· π arXiv.org
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Authors
Yong Zheng
arXiv ID
1707.08913
Category
cs.IR: Information Retrieval
Citations
18
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Recommender systems have been successfully applied to assist decision making by producing a list of item recommendations tailored to user preferences. Traditional recommender systems only focus on optimizing the utility of the end users who are the receiver of the recommendations. By contrast, multi-stakeholder recommendation attempts to generate recommendations that satisfy the needs of both the end users and other parties or stakeholders. This paper provides an overview and discussion about the multi-stakeholder recommendations from the perspective of practical applications, available data sets, corresponding research challenges and potential solutions.
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