Bayesian forecasting and dynamic models (2nd ed.)
Bayesian forecasting and dynamic models (2nd ed.)
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
Cell-probe lower bounds for the partial match problem
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
WWW '05 Proceedings of the 14th international conference on World Wide Web
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
ACM Computing Surveys (CSUR)
Predicting clicks: estimating the click-through rate for new ads
Proceedings of the 16th international conference on World Wide Web
Active exploration for learning rankings from clickthrough data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations
Computational Linguistics
Contextual advertising by combining relevance with click feedback
Proceedings of the 17th international conference on World Wide Web
Learning query intent from regularized click graphs
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Integration of news content into web results
Proceedings of the Second ACM International Conference on Web Search and Data Mining
A Data Structure for Sponsored Search
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Towards recency ranking in web search
Proceedings of the third ACM international conference on Web search and data mining
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
ACM SIGIR Forum
Learning recurrent event queries for web search
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
News article ranking: leveraging the wisdom of bloggers
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Foundations and Trends in Information Retrieval
Learning to advertise: how many ads are enough?
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Learning to aggregate vertical results into web search results
Proceedings of the 20th ACM international conference on Information and knowledge management
Implicit: a multi-agent recommendation system for web search
Autonomous Agents and Multi-Agent Systems
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
The effect of aggregated search coherence on search behavior
Proceedings of the 21st ACM international conference on Information and knowledge management
Improving recency ranking using twitter data
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Temporal web dynamics and its application to information retrieval
Proceedings of the sixth ACM international conference on Web search and data mining
News vertical search: when and what to display to users
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Behavioral dynamics on the web: Learning, modeling, and prediction
ACM Transactions on Information Systems (TOIS)
How fresh do you want your search results?
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
User modeling in search logs via a nonparametric bayesian approach
Proceedings of the 7th ACM international conference on Web search and data mining
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A growing trend in commercial search engines is the display of specialized content such as news, products, etc. interleaved with web search results. Ideally, this content should be displayed only when it is highly relevant to the search query, as it competes for space with "regular" results and advertisements. One measure of the relevance to the search query is the click-through rate the specialized content achieves when displayed; hence, if we can predict this click-through rate accurately, we can use this as the basis for selecting when to show specialized content. In this paper, we consider the problem of estimating the click-through rate for dedicated news search results. For queries for which news results have been displayed repeatedly before, the click-through rate can be tracked online; however, the key challenge for which previously unseen queries to display news results remains. In this paper we propose a supervised model that offers accurate prediction of news click-through rates and satisfies the requirement of adapting quickly to emerging news events.