Computational Advertising | Yahoo! Research

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.

Recent Publications

Introduction to Computational Advertising, Course at Management Sciences and Engineering Department, Stanford University Vanja Josifovski;Andrei Broder, 2009
Robust Cross-Language Query Classification with External Web Evidence Xuerui Wang;Andrei Broder;Evgeniy Gabrilovich; Vanja Josifovski; Bo Pang, Proceedings of the 2nd ACM International Conference on Web Search and Data Mining (WSDM), 2009
Towards Intent-Driven Bidterm Suggestion William Chang; Patrick Pantel; Ana-Maria Popescu; Evgeniy Gabrilovich, Proceedings of the 18th International World Wide Web Conference (WWW), 2009
Translating Relevance Scores to Probabilities for Contextual Advertising Deepak Agarwal; Evgeniy Gabrilovich; Rob Hall; Vanja Josifovski; Rajiv Khanna, The 18th ACM Conference on Information and Knowledge Management (CIKM), 2009
Context Transfer in Search Advertising Hila Becker;Andrei Broder; Evgeniy Gabrilovich; Vanja Josifovski; Bo Pang, The 32nd Annual ACM SIGIR Conference, 2009
What Happens after an Ad Click? Quantifying the Impact of Landing Pages in Web Advertising Hila Becker;Andrei Broder; Evgeniy Gabrilovich; Vanja Josifovski; Bo Pang, The 18th ACM Conference on Information and Knowledge Management (CIKM), 2009
Classifying Search Queries Using the Web as a Source of Knowledge Evgeniy Gabrilovich; Andrei Broder; Marcus Fontoura; Amruta Joshi; Vanja Josifovski; Lance Riedel; Tong Zhang, ACM Transactions on the Web, 2009, 2
A search-based method for forecasting ad impression in contextual advertising Xuerui Wang;Andrei Z. Broder;Marcus Fontoura;Vanja Josifovski, www, 2009 [view abstract]
Nearest-Neighbor Caching for Content-Match Applications Sandeep Pandey;Andrei Z. Broder;Flavio Chierichetti;Vanja Josifovski;Ravi Kumar;Sergei Vassilvitskii, WWW, 2009 [view abstract]
Cross-Language Query Classiﬁcation using Web Search for Exogenous Knowledge Xuerui Wang;Andrei Broder;Evgeniy Gabrilovich;Vanja Josifovski;Bo Pang, WSDM, 2009 [view abstract]
Ad Retrieval - A New Frontier of Information Retrieval Vanja Josifovski, SIGIR, 2009 [view abstract]
Online Expansion of Rare Queries for Sponsored Search Andrei Broder; Peter Ciccolo; Evgeniy Gabrilovich; Vanja Josifovski; Donald Metzler; Lance Riedel; Jeffrey Yuan, ACM Conference on the World Wide Web (WWW), 2009 [view abstract]
A Scalable Data Platform for a Large Number of Small Applications Fan Yang; Jayavel Shanmugasundaram; Ramana Yerneni, CIDR, 2009
Optimizing Relevance and Revenue in Ad Search: A Query Substitution Approach Filip Radlinski;Andrei Broder;Peter Ciccolo; Evgeniy Gabrilovich; Vanja Josifovski; Lance Riedel, Proceedings of the 31st ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2008
Domain-Specific Query Augmentation using Folksonomy Tags: the Case of Contextual Advertising Andrei Broder; Peter Ciccolo; Evgeniy Gabrilovich; Bo Pang, Proceedings of the 1st Workshop on Information Retrieval for Advertising, in conjunction with the 31st ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2008
Search Advertising using Web Relevance Feedback Andrei Broder; Peter Ciccolo; Marcus Fontoura; Evgeniy Gabrilovich; Vanja Josifovski; Lance Riedel, Proceedings of the 17th {ACM} Conference on Information and Knowledge Management (CIKM), 2008
Cross-Lingual Query Classification: a Preliminary Study Xuerui Wang;Andrei Broder;Evgeniy Gabrilovich; Vanja Josifovski; Bo Pang, Proceedings of the 2nd International ACM Workshop on Improving Non-English Web Searching (iNEWS), in conjunction with the 17th ACM Conference on Information and Knowledge Management (CIKM), 2008
Scalable Ranked Publish/Subscribe Ashwin Machanavajjhala; Erik Vee; Minos Garofalakis; Jayavel Shanmugasundaram, VLDB, 2008
An algorithm for improving graph partitions Reid Andersen; Kevin J. Lang, SODA, 2008 [view abstract]
Statistical Properties of Community Structure in Large Social and Information Networks Jure Leskovec;Kevin Lang;Anirban Dasgupta;Michael Mahoney, WWW, 2008 [view abstract]

Featured Project

Team

Recent Publications