摘要翻譯:
考慮一個(gè)在在線平臺(tái)上銷售的應(yīng)用程序,該應(yīng)用程序支付傭金,從今以后,該應(yīng)用程序?qū)⒃谠撈脚_(tái)上出售。銷售應(yīng)用程序的能力取決于其客戶排名。因此,開發(fā)人員可能會(huì)有動(dòng)機(jī)以不誠實(shí)的方式提升他們的應(yīng)用程序排名。其中一種方法是偽造正面的客戶評(píng)價(jià)。然而,該平臺(tái)能夠以一定的概率檢測出不誠實(shí)的行為(欺騙),然后決定是否禁止該應(yīng)用程序。分析了應(yīng)用開發(fā)者(是否作弊)和平臺(tái)(傭金的設(shè)置)的均衡行為。我們提供了平臺(tái)檢測準(zhǔn)確性如何影響應(yīng)用程序開發(fā)人員的激勵(lì)的初步見解。
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英文標(biāo)題:
《Cheating in Ranking Systems》
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作者:
Lihi Dery, Dror Hermel, Artyom Jelnov
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最新提交年份:
2019
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分類信息:
一級(jí)分類:Economics 經(jīng)濟(jì)學(xué)
二級(jí)分類:Theoretical Economics 理論經(jīng)濟(jì)學(xué)
分類描述:Includes theoretical contributions to Contract Theory, Decision Theory, Game Theory, General Equilibrium, Growth, Learning and Evolution, Macroeconomics, Market and Mechanism Design, and Social Choice.
包括對(duì)契約理論、決策理論、博弈論、一般均衡、增長、學(xué)習(xí)與進(jìn)化、宏觀經(jīng)濟(jì)學(xué)、市場與機(jī)制設(shè)計(jì)、社會(huì)選擇的理論貢獻(xiàn)。
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一級(jí)分類:Computer Science 計(jì)算機(jī)科學(xué)
二級(jí)分類:Computers and Society 計(jì)算機(jī)與社會(huì)
分類描述:Covers impact of computers on society, computer ethics, information technology and public policy, legal aspects of computing, computers and education. Roughly includes material in ACM Subject Classes K.0, K.2, K.3, K.4, K.5, and K.7.
涵蓋計(jì)算機(jī)對(duì)社會(huì)的影響、計(jì)算機(jī)倫理、信息技術(shù)和公共政策、計(jì)算機(jī)的法律方面、計(jì)算機(jī)和教育。大致包括ACM學(xué)科類K.0、K.2、K.3、K.4、K.5和K.7中的材料。
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英文摘要:
Consider an application sold on an on-line platform, with the app paying a commission fee and, henceforth, offered for sale on the platform. The ability to sell the application depends on its customer ranking. Therefore, developers may have an incentive to promote their applications ranking in a dishonest manner. One way to do this is by faking positive customer reviews. However, the platform is able to detect dishonest behavior (cheating) with some probability and then proceeds to decide whether to ban the application. We provide an analysis and find the equilibrium behaviors of both the applications developers (cheat or not) and the platform (setting of the commission fee). We provide initial insights into how the platforms detection accuracy affects the incentives of the app developers.
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PDF鏈接:
https://arxiv.org/pdf/1905.09116