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Computational advertising is a new scientific sub-discipline, at the intersection of information retrieval, machine learning, optimization, and microeconomics. Its central challenge is to find the best ad to present to a user engaged in a given context, such as querying a search engine ("sponsored search"), reading a web page ("content match"), watching a movie, and IM-ing.
Featured Project
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Match Game
It’s no secret that online ads should correspond to the pages on which they appear. After all, relevant ads ensure a better user experience and increase the likelihood of clickthroughs.
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Recent Publications
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An algorithm for improving graph partitions
Reid Andersen; Kevin J. Lang, SODA, 2008
[view abstract]
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Statistical Properties of Community Structure in Large Social and Information Networks
Jure Leskovec;Kevin Lang;Anirban Dasgupta;Michael Mahoney, WWW, 2008
[view abstract]
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Scalable Ranked Publish/Subscribe
Ashwin Machanavajjhala; Erik Vee; Minos Garofalakis; Jayavel Shanmugasundaram, VLDB, 2008
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WYSIWYG Development of Data Driven Web Applications
Fan Yang; Nitin Gupta; Chavdar Botev; Elizabeth Churchill; George Levchenko; Jayavel Shanmugasundaram, VLDB, 2008
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Efficient Top-K Processing over Query-Dependent Functions
Lin Guo; Sihem Amer-Yahia; Raghu Ramakrishnan; Jayavel Shanmugasundaram; Utkarsh Srivastava; Erik Vee, VLDB, 2008
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Efficient Computation of Diverse Query Results
Erik Vee; Utkarsh Srivastava; Jayavel Shanmugasundaram; Prashanth Bhat; Sihem Amer-Yahia, ICDE, 2008
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Contextual Advertising by Combining Relevance with Click Feedback
Deepayan Chakrabarti; Deepak Agarwal; Vanja Josifovski, WWW, 2008
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Personalized ad delivery when ads fatigue: An approximation algorithm.
Zoe Abrams; Erik Vee, WINE, 2007
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Finding dense and isolated submarkets in a sponsored search spending graph
Kevin J. Lang; Reid Andersen, CIKM, ACM, 2007
[view abstract]
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Semantic Approach to Contextual Advertising
Broder, Andrei Z. ; Fontoura, Marcus ; Josifovski, Vanja ; Riedel, Lance, SIGIR, 2007
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Just-in-Time Contextual Advertising
Anagnostopoulos, Aris ; Broder, Andrei ; Gabrilovich, Evgeniy ; Josifovski, Vanja ; Riedel, Lance, CIKM, 2007
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Estimating Rates of Rare Events at Multiple Resolutions
D. Agarwal; A. Broder; D. Chakrabarti; D. Diklic; V. Josifovski; M. Sayyadian, KDD, 2007
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Parsimonious Explanations of Change in Hierarchical Data
Barman, Dhiman ; Korn, Flip ; Srivastava, Divesh ; Gunopulos, Dimitrios ; Young, Neal E. ; Agarwal, Deepak, ICDE, 2007
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Predictive discrete latent factor models for large scale
dyadic data
Agarwal, Deepak ; Merugu, Srujana, KDD, 2007
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Efficient and effective explanation of change in hierarchical
summaries
Agarwal, Deepak ; Barman, Dhiman ; Gunopulos, Dimitrios ; Young, Neal E. ; Korn, Flip ; Srivastava, Divesh, KDD, 2007
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Bandits for Taxonomies: A Model-based Approach
Pandey, Sandeep ; Agarwal, Deepak ; Chakrabarti, Deepayan ; Josifovski, Vanja, SDM, 2007
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Detecting anomalies in cross-classified streams: a Bayesian
approach
Agarwal, Deepak, Knowl. Inf. Syst., 2007
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Computing Semantic Relatedness using Wikipedia-based Explicit
Semantic Analysis
Gabrilovich, Evgeniy ; Markovitch, Shaul, Proceedings of the 20th International Joint Conference on
Artificial Intelligence, 2007
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Bid Optimization for Internet Graphical Ad Auction Systems via Special Ordered Sets
Ralphe Wiggins; John A. Tomlin, INFORMS International Meeting, 2007
[view abstract]
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Optimal Delivery of Sponsored Search Advertisements Subject to Budget Constraints
Zoe Abrams; Ofer Mendelevitch; John A. Tomlin, EC'07, ACM Press, 2007
[view abstract]
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