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Featured researches published by Prabhakar Krishnamurthy.


knowledge discovery and data mining | 2011

Display advertising impact: search lift and social influence

Panagiotis Papadimitriou; Hector Garcia-Molina; Prabhakar Krishnamurthy; Randall Lewis; David Reiley

We study the impact of display advertising on user search behavior using a field experiment. In such an experiment, the treatment group users are exposed to some display advertising campaign, while the control group users are not. During the campaign and the post-campaign period we monitor the user search queries and we label them as relevant or irrelevant to the campaign using techniques that leverage the bipartite query-URL click graph. Our results indicate that users who are exposed to the advertising campaign submit 5% to 25% more queries that are relevant to it compared to the unexposed users. Using the social graph of the experiment users, we also explore how users are affected by their friends who are exposed to ads. Our results indicate that a user with exposed friends is more likely to submit queries relevant to the campaign, as compared to a user without exposed friends. The result is surprising given that the display advertising campaign that we study does not include any incentive for social action, e.g., discount for recommending friends.


international world wide web conferences | 2017

Sponsored Search Auctions with Rich Ads

Ruggiero Cavallo; Prabhakar Krishnamurthy; Maxim Sviridenko; Christopher A. Wilkens

The generalized second price (GSP) auction has served as the core selling mechanism for sponsored search ads for over a decade. However, recent trends expanding the set of allowed ad formats---to include a variety of sizes, decorations, and other distinguishing features---have raised critical problems for GSP-based platforms. Alternatives such as the Vickrey-Clarke-Groves (VCG) auction raise different complications because they fundamentally change the way prices are computed. In this paper we report on our efforts to redesign a search ad selling system from the ground up in this new context, proposing a mechanism that optimizes an entire slate of ads globally and computes prices that achieve properties analogous to those held by GSP in the original, simpler setting of uniform ads. A careful algorithmic coupling of allocation-optimization and pricing-computation allows our auction to operate within the strict timing constraints inherent in real-time ad auctions. We report performance results of the auction in Yahoos Gemini Search platform.


Archive | 2007

Simulation framework for evaluating designs for sponsored search markets

Tak W. Yan; Prabhakar Krishnamurthy; Ketan Deshpande; Chih-Chao Chang; Soam Acharya


Archive | 2010

Method and system for generating web pages for topics unassociated with a dominant url

Panagiotis Papadimitriou; Prabhakar Krishnamurthy; Frederick Kenneth Schmidt


Archive | 2013

Quality scoring system for advertisements and content in an online system

Bruno Fernandez Ruiz; Prabhakar Krishnamurthy; Jean-Marc Langlois; Abhay Gupta; Aharon Lavi


Archive | 2012

METHOD AND SYSTEM FOR FORMULATING BIDS FOR INTERNET ADVERTISING USING FORECAST DATA

Patrick R. Jordan; Prabhakar Krishnamurthy; Mohammad Mahdian; Sergei Vassilvitskii


Archive | 2009

Inferring an Optimal Minimum Reserve Price from a Distribution of Bids in an Online Auction

Michael Schwarz; Marcin Mejran; Prabhakar Krishnamurthy


Archive | 2013

Unified marketplace for advertisements and content in an online system

Bruno Fernandez Ruiz; Scott Gaffney; Jean-Marc Langlois; Prabhakar Krishnamurthy; Aharon Lavi


Archive | 2009

Inferring a Distribution of Values from a Distribution of Bids in an Online Auction

Michael Schwarz; Marcin Mejran; Prabhakar Krishnamurthy


Archive | 2015

User engagement-based contextually-dependent automated pricing for non-guaranteed delivery

Prabhakar Krishnamurthy; Xing Yi; Yan Jiao; Jean-Marc Langlois

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