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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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Optimizing relevance and revenue in ad search: a query substitution
Radlinski, Filip ; Broder, Andrei Z. ; Ciccolo, Peter ; Gabrilovich, Evgeniy ; Josifovski, Vanja ; Riedel, Lance, SIGIR, 2008
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A note on search based forecasting of ad volume in contextual
Wang, Xuerui ; Broder, Andrei Z. ; Fontoura, Marcus ; Josifovski, Vanja, CIKM, 2008
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Search advertising using web relevance feedback
Broder, Andrei Z. ; Ciccolo, Peter ; Fontoura, Marcus ; Gabrilovich, Evgeniy ; Josifovski, Vanja ; Riedel, Lance, CIKM, 2008
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Introduction to special issue on query log analysis: Technology
and ethics
Amitay, Einat ; Broder, Andrei Z., TWEB, 2008
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Ad Delivery with Budgeted Advertisers: A Comprehensive LP Approach
Z. Abrams; S. Sathiya Keerthi; O. Mendelevitch; J.A. Tomlin, Journal of Electronic Commerce Research, 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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To Swing or not to Swing: Learning when (not) to Advertise
Andrei Broder; Massimiliano Ciaramita; Marcus Fontoura; Evgeniy Gabrilovich; Vanja Josifovski; Donald Metzler; Vanessa Murdock; Vassilis Plachouras, ACM Conference on Information and Knowledge Management (CIKM), 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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An algorithm for improving graph partitions
Reid Andersen; Kevin J. Lang, SODA, 2008
[view abstract]
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Contextual Advertising by Combining Relevance with Click Feedback
Deepayan Chakrabarti; Deepak Agarwal; Vanja Josifovski, WWW, 2008
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Margin Based Active Learning
Balcan, Maria-Florina ; Broder, Andrei Z. ; Zhang, Tong, COLT, 2007
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Personalized ad delivery when ads fatigue: An approximation algorithm.
Zoe Abrams; Erik Vee, WINE, 2007
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Robust classification of rare queries using web knowledge
Broder, Andrei Z. ; Fontoura, Marcus ; Gabrilovich, Evgeniy ; Joshi, Amruta ; Josifovski, Vanja ; Zhang, Tong, SIGIR, 2007
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A semantic approach to contextual advertising
Broder, Andrei Z. ; Fontoura, Marcus ; Josifovski, Vanja ; Riedel, Lance, SIGIR, 2007
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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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Bandits for Taxonomies: A Model-based Approach
Pandey, S. ; Agarwal, D. ; Chakrabarti, D. ; Josifovski, V., SDM, 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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