Prabhakar Krishnamurthy
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Featured researches published by Prabhakar Krishnamurthy.
knowledge discovery and data mining | 2011
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
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
Tak W. Yan; Prabhakar Krishnamurthy; Ketan Deshpande; Chih-Chao Chang; Soam Acharya
Archive | 2010
Panagiotis Papadimitriou; Prabhakar Krishnamurthy; Frederick Kenneth Schmidt
Archive | 2013
Bruno Fernandez Ruiz; Prabhakar Krishnamurthy; Jean-Marc Langlois; Abhay Gupta; Aharon Lavi
Archive | 2012
Patrick R. Jordan; Prabhakar Krishnamurthy; Mohammad Mahdian; Sergei Vassilvitskii
Archive | 2009
Michael Schwarz; Marcin Mejran; Prabhakar Krishnamurthy
Archive | 2013
Bruno Fernandez Ruiz; Scott Gaffney; Jean-Marc Langlois; Prabhakar Krishnamurthy; Aharon Lavi
Archive | 2009
Michael Schwarz; Marcin Mejran; Prabhakar Krishnamurthy
Archive | 2015
Prabhakar Krishnamurthy; Xing Yi; Yan Jiao; Jean-Marc Langlois