Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Combining evidence for automatic web session identification
Information Processing and Management: an International Journal - Issues of context in information retrieval
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Mining search engine query logs for query recommendation
Proceedings of the 15th international conference on World Wide Web
Learning about the world through long-term query logs
ACM Transactions on the Web (TWEB)
Behavioural Targeting in On-Line Advertising: An Empirical Study
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
The query-flow graph: model and applications
Proceedings of the 17th ACM conference on Information and knowledge management
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the Second ACM International Conference on Web Search and Data Mining
How much can behavioral targeting help online advertising?
Proceedings of the 18th international conference on World wide web
Large-scale behavioral targeting
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Audience selection for on-line brand advertising: privacy-friendly social network targeting
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
An analysis framework for search sequences
Proceedings of the 18th ACM conference on Information and knowledge management
Clustering query refinements by user intent
Proceedings of the 19th international conference on World wide web
Modeling and analysis of cross-session search tasks
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Scalable distributed inference of dynamic user interests for behavioral targeting
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Retrieval models for audience selection in display advertising
Proceedings of the 20th ACM international conference on Information and knowledge management
Learning to target: what works for behavioral targeting
Proceedings of the 20th ACM international conference on Information and knowledge management
Large-scale behavioral targeting with a social twist
Proceedings of the 20th ACM international conference on Information and knowledge management
Organizing User Search Histories
IEEE Transactions on Knowledge and Data Engineering
Social influence in social advertising: evidence from field experiments
Proceedings of the 13th ACM Conference on Electronic Commerce
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Advertisers typically have a fairly accurate idea of the interests of their target audience. However, today's online advertising systems are unable to leverage this information. The reasons are two-fold. First, there is no agreed upon vocabulary of interests for advertisers and advertising systems to communicate. More importantly, advertising systems lack a mechanism for mapping users to the interest vocabulary. In this paper, we tackle both problems. We present a system for direct interest-aware audience selection. This system takes the query histories of search engine users as input, extracts their interests, and describes them with interpretable labels. The labels are not drawn from a predefined taxonomy, but rather dynamically generated from the query histories, and are thus easy for the advertisers to interpret and use for targeting users. In addition, the system enables seamless addition of interest labels that may be provided by the advertiser.