On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Beyond PageRank: machine learning for static ranking
Proceedings of the 15th international conference on World Wide Web
INFORMS Journal on Computing
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
Proceedings of the ninth international conference on Electronic commerce
Just-in-time contextual advertising
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
An experimental comparison of click position-bias models
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Data mining and audience intelligence for advertising
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Contextual advertising by combining relevance with click feedback
Proceedings of the 17th international conference on World Wide Web
Gsp-exr: gsp protocol with an exclusive right for keyword auctions
Proceedings of the 17th international conference on World Wide Web
Behavioural Targeting in On-Line Advertising: An Empirical Study
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Simrank++: query rewriting through link analysis of the click graph
Proceedings of the VLDB Endowment
Contextual in-image advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Effective Prediction of Web User Behaviour with User-Level Models
Fundamenta Informaticae
Efficient multiple-click models in web search
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Tailoring click models to user goals
Proceedings of the 2009 workshop on Web Search Click Data
Variable selection for ad prediction
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
A dynamic bayesian network click model for web search ranking
Proceedings of the 18th international conference on World wide web
Click chain model in web search
Proceedings of the 18th international conference on World wide web
Spatio-temporal models for estimating click-through rate
Proceedings of the 18th international conference on World wide web
Hybrid keyword search auctions
Proceedings of the 18th international conference on World wide web
Predicting click through rate for job listings
Proceedings of the 18th international conference on World wide web
Personalized Delivery of On---Line Search Advertisement Based on User Interests
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Lexical Graphs for Improved Contextual Ad Recommendation
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Classifying and Characterizing Query Intent
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Report on the second KDD workshop on data mining for advertising
ACM SIGKDD Explorations Newsletter
BBM: bayesian browsing model from petabyte-scale data
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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
OLAP on search logs: an infrastructure supporting data-driven applications in search engines
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptation of offline vertical selection predictions in the presence of user feedback
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
A relevance model based filter for improving ad quality
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A Dynamic Rearrangement Mechanism of Web Page Layouts Using Web Agents
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
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
Ad quality on TV: predicting television audience retention
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Predicting Click Rates by Consistent Bipartite Spectral Graph Model
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Estimating Ad Clickthrough Rate through Query Intent Analysis
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
What happens after an ad click?: quantifying the impact of landing pages in web advertising
Proceedings of the 18th ACM conference on Information and knowledge management
Characterizing commercial intent
Proceedings of the 18th ACM conference on Information and knowledge management
Expected reciprocal rank for graded relevance
Proceedings of the 18th ACM conference on Information and knowledge management
Practical lessons of data mining at Yahoo!
Proceedings of the 18th ACM conference on Information and knowledge management
Predicting the conversion probability for items on C2C ecommerce sites
Proceedings of the 18th ACM conference on Information and knowledge management
A collaborative filtering approach to ad recommendation using the query-ad click graph
Proceedings of the 18th ACM conference on Information and knowledge management
Contract Auctions for Sponsored Search
WINE '09 Proceedings of the 5th International Workshop on Internet and Network Economics
Inferring search behaviors using partially observable Markov (POM) model
Proceedings of the third ACM international conference on Web search and data mining
A novel click model and its applications to online advertising
Proceedings of the third ACM international conference on Web search and data mining
Improving ad relevance in sponsored search
Proceedings of the third ACM international conference on Web search and data mining
Competing for users' attention: on the interplay between organic and sponsored search results
Proceedings of the 19th international conference on World wide web
Diversifying web search results
Proceedings of the 19th international conference on World wide web
PageSense: style-wise web page advertising
Proceedings of the 19th international conference on World wide web
Predicting the popularity of online content
Communications of the ACM
GameSense: game-like in-image advertising
Multimedia Tools and Applications
Temporal click model for sponsored search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Ready to buy or just browsing?: detecting web searcher goals from interaction data
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Incorporating post-click behaviors into a click model
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
Clicked phrase document expansion for sponsored search ad retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Learning the click-through rate for rare/new ads from similar ads
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Overlapping experiment infrastructure: more, better, faster experimentation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Estimating rates of rare events with multiple hierarchies through scalable log-linear models
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
User browsing models: relevance versus examination
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
ACM Transactions on Internet Technology (TOIT)
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Minimally-supervised extraction of entities from text advertisements
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Learning click models via probit bayesian inference
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
The anatomy of a click: modeling user behavior on web information systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Probabilistic first pass retrieval for search advertising: from theory to practice
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Exploiting statistical and relational information on the web and in social media
Proceedings of the fourth ACM international conference on Web search and data mining
Evaluating search engines by clickthrough data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Click prediction for product search on C2C web sites
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Proceedings of the 20th international conference companion on World wide web
Characterizing search intent diversity into click models
Proceedings of the 20th international conference on World wide web
Learning to re-rank: query-dependent image re-ranking using click data
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
The sum of its parts: reducing sparsity in click estimation with query segments
Information Retrieval
Improving local search ranking through external logs
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Response prediction using collaborative filtering with hierarchies and side-information
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Bid landscape forecasting in online ad exchange marketplace
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
User-click modeling for understanding and predicting search-behavior
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Incorporating user feedback into name disambiguation of scientific cooperation network
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Retrieval models for audience selection in display advertising
Proceedings of the 20th ACM international conference on Information and knowledge management
Advertiser-centric approach to understand user click behavior in sponsored search
Proceedings of the 20th ACM international conference on Information and knowledge management
ImageSense: Towards contextual image advertising
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Proceedings of the fifth ACM international conference on Web search and data mining
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
A noise-aware click model for web search
Proceedings of the fifth ACM international conference on Web search and data mining
Personalized click model through collaborative filtering
Proceedings of the fifth ACM international conference on Web search and data mining
Proceedings of the fifth ACM international conference on Web search and data mining
Beyond ten blue links: enabling user click modeling in federated web search
Proceedings of the fifth ACM international conference on Web search and data mining
Relational click prediction for sponsored search
Proceedings of the fifth ACM international conference on Web search and data mining
Towards personalized advertising in sponsored search
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Estimating conversion rate in display advertising from past erformance data
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Position-normalized click prediction in search advertising
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Improving searcher models using mouse cursor activity
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Using boosted trees for click-through rate prediction for sponsored search
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy
Multi-objective optimization for sponsored search
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy
Dynamic ad layout revenue optimization for display advertising
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy
Enlister: baidu's recommender system for the biggest chinese Q&A website
Proceedings of the sixth ACM conference on Recommender systems
Effective Prediction of Web User Behaviour with User-Level Models
Fundamenta Informaticae
Sponsored search auctions: an overview of research with emphasis on game theoretic aspects
Electronic Commerce Research
Automatic generation of listing ads by reusing promotional texts
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
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
Modeling browsing behavior for click analysis in sponsored search
Proceedings of the 21st ACM international conference on Information and knowledge management
Predicting CTR of new ads via click prediction
Proceedings of the 21st ACM international conference on Information and knowledge management
Predicting content change on the web
Proceedings of the sixth ACM international conference on Web search and data mining
Assessing relevance and trust of the deep web sources and results based on inter-source agreement
ACM Transactions on the Web (TWEB)
Incorporating vertical results into search click models
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Psychological advertising: exploring user psychology for click prediction in sponsored search
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Ad click prediction: a view from the trenches
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Predictive model performance: offline and online evaluations
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 22nd international conference on World Wide Web
Real time bid optimization with smooth budget delivery in online advertising
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising
Forecasting user visits for online display advertising
Information Retrieval
Using historical click data to increase interleaving sensitivity
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Incorporating user preferences into click models
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Automatic ad format selection via contextual bandits
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Improving contextual advertising by adopting collaborative filtering
ACM Transactions on the Web (TWEB)
Up or Down? Click-Through Rate Prediction from Social Intention for Search Advertising
Proceedings of International Conference on Information Integration and Web-based Applications & Services
A game- heoretic machine learning approach for revenue maximization in sponsored search
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Accurate probability calibration for multiple classifiers
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Exploiting contextual factors for click modeling in sponsored search
Proceedings of the 7th ACM international conference on Web search and data mining
Predicting response in mobile advertising with hierarchical importance-aware factorization machine
Proceedings of the 7th ACM international conference on Web search and data mining
Sampling dilemma: towards effective data sampling for click prediction in sponsored search
Proceedings of the 7th ACM international conference on Web search and data mining
LASER: a scalable response prediction platform for online advertising
Proceedings of the 7th ACM international conference on Web search and data mining
Estimating ad group performance in sponsored search
Proceedings of the 7th ACM international conference on Web search and data mining
Name disambiguation in scientific cooperation network by exploiting user feedback
Artificial Intelligence Review
Hi-index | 0.02 |
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly affects the probability that a user will see and click on each ad. This ranking has a strong impact on the revenue the search engine receives from the ads. Further, showing the user an ad that they prefer to click on improves user satisfaction. For these reasons, it is important to be able to accurately estimate the click-through rate of ads in the system. For ads that have been displayed repeatedly, this is empirically measurable, but for new ads, other means must be used. We show that we can use features of ads, terms, and advertisers to learn a model that accurately predicts the click-though rate for new ads. We also show that using our model improves the convergence and performance of an advertising system. As a result, our model increases both revenue and user satisfaction.