On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modern Information Retrieval
Efficient query evaluation using a two-level retrieval process
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Marketing Science
Impedance coupling in content-targeted advertising
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting clicks: estimating the click-through rate for new ads
Proceedings of the 16th international conference on World Wide Web
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Trust region Newton methods for large-scale logistic regression
Proceedings of the 24th international conference on Machine learning
A semantic approach to contextual advertising
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Catching the drift: learning broad matches from clickthrough data
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting bounce rates in sponsored search advertisements
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient query expansion for advertisement search
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Click-through prediction for news queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Data-driven text features for sponsored search click prediction
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Revenue optimization with relevance constraint in sponsored search
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
A spatio-temporal approach to collaborative filtering
Proceedings of the third ACM conference on Recommender systems
Using word-sense disambiguation methods to classify web queries by intent
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Inferring search behaviors using partially observable Markov (POM) model
Proceedings of the third ACM international conference on Web search and data mining
Personalized click prediction in sponsored search
Proceedings of the third ACM international conference on Web search and data mining
AdHeat: an influence-based diffusion model for propagating hints to match ads
Proceedings of the 19th international conference on World wide web
DASA: Dissatisfaction-oriented Advertising based on Sentiment Analysis
Expert Systems with Applications: An International Journal
Ranking for the conversion funnel
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Estimating advertisability of tail queries for sponsored search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Exploitation and exploration in a performance based contextual advertising system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Fast online learning through offline initialization for time-sensitive recommendation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Combined regression and ranking
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Contextual advertising using keyword extraction through collocation
Proceedings of the 7th International Conference on Frontiers of Information Technology
Adaptive policies for selecting groupon style chunked reward ads in a stochastic knapsack framework
Proceedings of the 20th international conference on World wide web
A stochastic learning-to-rank algorithm and its application to contextual advertising
Proceedings of the 20th international conference on World wide web
Detecting adversarial advertisements in the wild
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Web Page Summarization for Just-in-Time Contextual Advertising
ACM Transactions on Intelligent Systems and Technology (TIST)
Retrieval models for audience selection in display advertising
Proceedings of the 20th ACM international conference on Information and knowledge management
Large Linear Classification When Data Cannot Fit in Memory
ACM Transactions on Knowledge Discovery from Data (TKDD)
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising
Proceedings of the fifth ACM international conference on Web search and data mining
Incorporating revisiting behaviors into click models
Proceedings of the fifth ACM international conference on Web search and data mining
Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine
ACM Transactions on Intelligent Systems and Technology (TIST)
The impact of visual appearance on user response in online display advertising
Proceedings of the 21st international conference companion on World Wide Web
Multimedia features for click prediction of new ads in display advertising
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering coverage patterns for banner advertisement placement
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
A keyword-topic model for contextual advertising
Proceedings of the Third Symposium on Information and Communication Technology
A semantic approach to recommending text advertisements for images
Proceedings of the sixth ACM conference on Recommender systems
Multiview hierarchical bayesian regression model andapplication to online advertising
Proceedings of the 21st ACM international conference on Information and knowledge management
Visual appearance of display ads and its effect on click through rate
Proceedings of the 21st ACM international conference on Information and knowledge management
Sequential selection of correlated ads by POMDPs
Proceedings of the 21st ACM international conference on Information and knowledge management
An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems
International Journal of Advanced Pervasive and Ubiquitous Computing
Context mining and integration into predictive web analytics
Proceedings of the 22nd international conference on World Wide Web companion
Discovering temporal hidden contexts in web sessions for user trail prediction
Proceedings of the 22nd international conference on World Wide Web companion
Predictive model performance: offline and online evaluations
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
CTR prediction for contextual advertising: learning-to-rank approach
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising
Real-time bidding for online advertising: measurement and analysis
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising
Forecasting user visits for online display advertising
Information Retrieval
Semantic contextual advertising based on the open directory project
ACM Transactions on the Web (TWEB)
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Contextual advertising supports much of the Web's ecosystem today. User experience and revenue (shared by the site publisher and the ad network) depend on the relevance of the displayed ads to the page content. As with other document retrieval systems, relevance is provided by scoring the match between individual ads (documents) and the content of the page where the ads are shown (query). In this paper we show how this match can be improved significantly by augmenting the ad-page scoring function with extra parameters from a logistic regression model on the words in the pages and ads. A key property of the proposed model is that it can be mapped to standard cosine similarity matching and is suitable for efficient and scalable implementation over inverted indexes. The model parameter values are learnt from logs containing ad impressions and clicks, with shrinkage estimators being used to combat sparsity. To scale our computations to train on an extremely large training corpus consisting of several gigabytes of data, we parallelize our fitting algorithm in a Hadoop framework [10]. Experimental evaluation is provided showing improved click prediction over a holdout set of impression and click events from a large scale real-world ad placement engine. Our best model achieves a 25% lift in precision relative to a traditional information retrieval model which is based on cosine similarity, for recalling 10% of the clicks in our test data.