The value of adaptive menu sizes in peer-to-peer platforms

Karabulut Türkseven, Ezgi and Gholizadeh, Fatemeh and Akhavan, Raha (2022) The value of adaptive menu sizes in peer-to-peer platforms. Transportation Research Part C: Emerging Technologies, 145 . ISSN 0968-090X (Print) 1879-2359 (Online)

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We consider a peer-to-peer logistics system, where the agents and the platform communicate in both directions in a multi-period setting. The goal of the platform is to select a subset of the requests to offer to each agent that would result in a maximum valued matching for the platform. The platform utilizes the agent's choice to learn about her preferences and improve the estimated decision mechanism of the agent. Through systematic experimentation, we first establish that at the earlier iterations and while the decision mechanism of the agent is not yet accurately estimated, a larger menu size could benefit the platform's overall gain better. However, after the estimates become more accurate through the learning process, a smaller menu size can further increase the overall benefits.
Item Type: Article
Uncontrolled Keywords: Peer-to-peer platforms; Preference learning; Recommendation sets
Divisions: Faculty of Engineering and Natural Sciences
Sabancı Business School
Depositing User: Ezgi Karabulut Türkseven
Date Deposited: 05 Apr 2023 11:29
Last Modified: 05 Apr 2023 11:30

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