NDLI: Reducing congestions in decentralized matching by using preference signaling

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Reducing congestions in decentralized matching by using preference signaling

Content Provider	ACM Digital Library
Author	Kagifuku, Ryuya Matsubara, Shigeo
Abstract	This paper analyzes the effect of introducing preference signaling into the matching process of services (service providers) and consumers. This problem can be formalized as a two-sided matching problem in the game theory, and the Gale-Shapley algorithm is known as effective in solving the problem. It is implicitly assumed that service providers can learn the preference order over all consumers, but the service providers have to examine consumers before starting the Gale-Shapley algorithm, especially in the service-consumer matching market. Due to the different popularity of services, a congestion problem arises, that is, some service providers may receive many applications that are difficult to deal with. As a method to overcome this drawback, preference signaling has been proposed. However, the previous studies are not sufficient in that (1) they do not consider the difference in popularity on consumers, (2) they do not consider that a consumer can apply for more than one services simultaneously. To solve this problem, we build two models of the matching process (sequential one and parallel one) and examine the optimal strategies of consumers. The experimental results show that the introduction of preference signaling is effective to reduce the burden of service providers/consumers.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450342223
DOI	10.1145/2971603.2971641
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-08-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gale-shapley algorithm Two-sided matching Sharing economy
Content Type	Text
Resource Type	Article

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