Grandi, Umberto and Turrini, Paolo (2016) A Network-Based Rating System and its Resistance to Bribery. In: 25th International Joint Conference on Artificial Intelligence (IJCAI 2016).

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We study a rating system in which a set of individuals (e.g., the customers of a restaurant) evaluate a given service (e.g, the restaurant), with their aggregated opinion determining the probability of all individuals to use the service and thus its generated revenue. We explicitly model the influence relation by a social network, with individuals being influenced by the evaluation of their trusted peers. On top of that we allow a malicious service provider (e.g., the restaurant owner) to bribe some individuals, i.e., to invest a part of his or her expected income to modify their opinion, therefore influencing his or her final gain. We analyse the effect of bribing strategies under various constraints, and we show under what conditions the system is bribery-proof, i.e., no bribing strategy yields a strictly positive expected gain to the service provider.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2016
Uncontrolled Keywords: Social network
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 14 Mar 2019 14:08
Last Modified: 02 Apr 2021 15:59
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