Generalized Second-price Auction
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Generalized Second-price Auction
The generalized second-price auction (GSP) is a non-truthful auction mechanism for multiple items. Each bidder places a bid. The highest bidder gets the first slot, the second-highest, the second slot and so on, but the highest bidder pays the price bid by the second-highest bidder, the second-highest pays the price bid by the third-highest, and so on. First conceived as a natural extension of the Vickrey auction, it conserves some of the desirable properties of the Vickrey auction. It is used mainly in the context of keyword auctions, where sponsored search slots are sold on an auction basis. The first analyses of GSP are in the economics literature by Edelman, Ostrovsky, and SchwarzBenjamin Edelman, Michael Ostrovsky, and Michael Schwarz:Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords. American Economic Review 97(1), 2007 pp 242-259 and by Varian.H. R. Varian:Position auctions. International Journal of Industrial Organ ...
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Vickrey Auction
A Vickrey auction or sealed-bid second-price auction (SBSPA) is a type of sealed-bid auction. Bidders submit written bids without knowing the bid of the other people in the auction. The highest bidder wins but the price paid is the second-highest bid. This type of auction is strategically similar to an English auction and gives bidders an incentive to bid their true value. The auction was first described academically by Columbia University professor William Vickrey in 1961 though it had been used by stamp collectors since 1893. In 1797 Johann Wolfgang von Goethe sold a manuscript using a sealed-bid, second-price auction. Vickrey's original paper mainly considered auctions where only a single, indivisible good is being sold. The terms ''Vickrey auction'' and ''second-price sealed-bid auction'' are, in this case only, equivalent and used interchangeably. In the case of multiple identical goods, the bidders submit inverse demand curves and pay the opportunity cost. Vickrey auctions ...
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Price Of Anarchy
The Price of Anarchy (PoA) is a concept in economics and game theory that measures how the efficiency of a system degrades due to selfish behavior of its agents. It is a general notion that can be extended to diverse systems and notions of efficiency. For example, consider the system of transportation of a city and many agents trying to go from some initial location to a destination. Let efficiency in this case mean the average time for an agent to reach the destination. In the 'centralized' solution, a central authority can tell each agent which path to take in order to minimize the average travel time. In the 'decentralized' version, each agent chooses its own path. The Price of Anarchy measures the ratio between average travel time in the two cases. Usually the system is modeled as a game and the efficiency is some function of the outcomes (e.g. maximum delay in a network, congestion in a transportation system, social welfare in an auction, etc.). Different concepts of equilibriu ...
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Auction Theory
Auction theory is an applied branch of economics which deals with how bidders act in auction markets and researches how the features of auction markets Incentivisation, incentivise predictable outcomes. Auction theory is a tool used to inform the design of real-world auctions. Sellers use auction theory to raise higher revenues while allowing buyers to procure at a lower cost. The conference of the price between the buyer and seller is an economic equilibrium. Auction theorists design rules for auctions to address issues which can lead to market failure. The design of these rulesets encourages optimal bidding strategies among a variety of informational settings. The 2020 Nobel Prize for Economics was awarded to Paul R. Milgrom and Robert B. Wilson “for improvements to auction theory and inventions of new Auction#Types, auction formats.” Introduction Auctions facilitate transactions by enforcing a specific set of rules regarding the resource allocations of a group of bidders. T ...
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Google Ads
Google Ads (formerly Google AdWords) is an online advertising platform developed by Google, where advertisers bid to display brief advertisements, service offerings, product listings, or videos to web users. It can place ads both in the results of search engines like Google Search (the Google Search Network) and on non-search websites, mobile apps, and videos. Services are offered under a pay-per-click (PPC) pricing model. Google Ads is the main source of revenue for Alphabet Inc, contributing US$168.6 billion in 2020. History Google launched AdWords in 2000. Initially, AdWords advertisers paid for the service monthly, and Google would set up and manage their campaigns. Google soon introduced the AdWords self-service portal to accommodate small businesses and those who wanted to manage their own campaigns. In 2005, Google started a campaign management service known as 'Jumpstart'. The AdWords system was initially implemented on top of the MySQL database engine. After the sys ...
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Generalized First-price Auction
The generalized first-price auction (GFP) is a non-truthful auction mechanism for sponsored search (a.k.a. position auctions). In sponsored search ''n'' bidders compete for the assignment of ''k'' slots. Each slot has an associate click-through rate, the click-through rates are decreasing from top to bottom. The GFP mechanism asks each bidder for a bid. Then the highest bidder gets the first slot, the second-highest, the second slot and so on. On each click the highest bidder pays his bid on the first slot, the second highest bidder pays his bid on the second slot, and so on. The GFP mechanism was the first mechanism to find application in sponsored search, replacing the "flat fee" and "per-impression" model that was the standard. Overture adopted the GFP mechanism in 1997, and provided service to Yahoo! and MSN. Although very successful initially, bidders quickly learned how to manipulate the mechanism. Bidding patterns exhibited a characteristic saw-tooth pattern, and the mechan ...
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Susan Athey
Susan Carleton Athey (born ) is an American economist. She is the Economics of Technology Professor in the School of Humanities and Sciences at the Stanford Graduate School of Business. Prior to joining Stanford, she has been a professor at Harvard University and the Massachusetts Institute of Technology. She is the first female winner of the John Bates Clark Medal. She served as the consulting chief economist for Microsoft for six years and was a consulting researcher to Microsoft Research. She is currently on the boards of Expedia, Lending Club, Rover, Turo, Ripple, and non-profit Innovations for Poverty Action. She also serves as the senior fellow at Stanford Institute for Economic Policy Research. She is an associate director for the Stanford Institute for Human-Centered Artificial Intelligence and the director of Golub Capital Social Impact Lab. Early life and education Athey was born in Boston, Massachusetts, and grew up in Rockville, Maryland. Her parents are Elizabeth ...
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Complete Information
In economics and game theory, complete information is an economic situation or game in which knowledge about other market participants or players is available to all participants. The utility functions (including risk aversion), payoffs, strategies and "types" of players are thus common knowledge. Complete information is the concept that each player in the game is aware of the sequence, strategies, and payoffs throughout gameplay. Given this information, the players have the ability to plan accordingly based on the information to maximize their own strategies and utility at the end of the game. Inversely, in a game with incomplete information, players do not possess full information about their opponents. Some players possess private information, a fact that the others should take into account when forming expectations about how those players will behave. A typical example is an auction: each player knows his own utility function (valuation for the item), but does not know the utili ...
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Kevin Leyton-Brown
Kevin Leyton-Brown (born May 12, 1975) is a Professor of Computer Science at the University of British Columbia. He received his Ph.D. at Stanford University in 2003. He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, a 2013/14 Killam Teaching Prize, and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer Science. Leyton-Brown co-teaches a popular game theory course on Coursera.org, along with Matthew O. Jackson and Yoav Shoham. Leyton-Brown serves as an associate editor for the ''Journal of Artificial Intelligence Research'', the ''Artificial Intelligence'' journal, and ''ACM Transactions on Economics and Computation', and was program chair for the ACM Conference on Electronic Commerce in 2012. Leyton-Brown and coauthors have received the IJCAI-JAIR Best Paper Prize and numerous medals in international SAT competitions (2003–12). Leyton-Brown's research is at the intersection of computer science and microe ...
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Nash Equilibrium
In game theory, the Nash equilibrium, named after the mathematician John Nash, is the most common way to define the solution of a non-cooperative game involving two or more players. In a Nash equilibrium, each player is assumed to know the equilibrium strategies of the other players, and no one has anything to gain by changing only one's own strategy. The principle of Nash equilibrium dates back to the time of Cournot, who in 1838 applied it to competing firms choosing outputs. If each player has chosen a strategy an action plan based on what has happened so far in the game and no one can increase one's own expected payoff by changing one's strategy while the other players keep their's unchanged, then the current set of strategy choices constitutes a Nash equilibrium. If two players Alice and Bob choose strategies A and B, (A, B) is a Nash equilibrium if Alice has no other strategy available that does better than A at maximizing her payoff in response to Bob choosing B, and Bob ...
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Economics
Economics () is the social science that studies the Production (economics), production, distribution (economics), distribution, and Consumption (economics), consumption of goods and services. Economics focuses on the behaviour and interactions of Agent (economics), economic agents and how economy, economies work. Microeconomics analyzes what's viewed as basic elements in the economy, including individual agents and market (economics), markets, their interactions, and the outcomes of interactions. Individual agents may include, for example, households, firms, buyers, and sellers. Macroeconomics analyzes the economy as a system where production, consumption, saving, and investment interact, and factors affecting it: employment of the resources of labour, capital, and land, currency inflation, economic growth, and public policies that have impact on glossary of economics, these elements. Other broad distinctions within economics include those between positive economics, desc ...
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Mechanism Design
Mechanism design is a field in economics and game theory that takes an objectives-first approach to designing economic mechanisms or incentives, toward desired objectives, in strategic settings, where players act rationally. Because it starts at the end of the game, then goes backwards, it is also called reverse game theory. It has broad applications, from economics and politics in such fields as market design, auction theory and social choice theory to networked-systems (internet interdomain routing, sponsored search auctions). Mechanism design studies solution concepts for a class of private-information games. Leonid Hurwicz explains that 'in a design problem, the goal function is the main "given", while the mechanism is the unknown. Therefore, the design problem is the "inverse" of traditional economic theory, which is typically devoted to the analysis of the performance of a given mechanism.' So, two distinguishing features of these games are: * that a game "designer" choos ...
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Social Welfare Function
In welfare economics, a social welfare function is a function that ranks social states (alternative complete descriptions of the society) as less desirable, more desirable, or indifferent for every possible pair of social states. Inputs of the function include any variables considered to affect the economic welfare of a society. In using welfare measures of persons in the society as inputs, the social welfare function is individualistic in form. One use of a social welfare function is to represent prospective patterns of collective choice as to alternative social states. The social welfare function provides the government with a simple guideline for achieving the optimal distribution of income. The social welfare function is analogous to the consumer theory of indifference-curve– budget constraint tangency for an individual, except that the social welfare function is a mapping of individual preferences or judgments of everyone in the society as to collective choices, which ap ...
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