Digital Advertising: An Information Scientist's Perspective
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[1] John Platt,et al. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods , 1999 .
[2] Lina Zhou,et al. ONLINE SHOPPING ACCEPTANCE MODEL — A CRITICAL SURVEY OF CONSUMER FACTORS IN ONLINE SHOPPING , 2007 .
[3] Weiguo Fan,et al. Learning to advertise , 2006, SIGIR.
[4] Gerard Salton,et al. The SMART Retrieval System , 1971 .
[5] Wei Chu,et al. An Unbiased, Data-Driven, Offline Evaluation Method of Contextual Bandit Algorithms , 2010, ArXiv.
[6] Alexander J. Smola,et al. Advances in Large Margin Classifiers , 2000 .
[7] Matthew Richardson,et al. Predicting clicks: estimating the click-through rate for new ads , 2007, WWW '07.
[8] Rich Caruana,et al. Predicting good probabilities with supervised learning , 2005, ICML.
[9] Slava M. Katz,et al. Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..
[10] Olivier Chapelle,et al. Expected reciprocal rank for graded relevance , 2009, CIKM.
[11] Ben Carterette,et al. Low cost evaluation in information retrieval , 2010, SIGIR '10.
[12] Chris Volinsky,et al. Network-Based Marketing: Identifying Likely Adopters Via Consumer Networks , 2006, math/0606278.
[13] Gábor Lugosi,et al. Prediction, learning, and games , 2006 .
[14] F. T. Wright,et al. Order restricted statistical inference , 1988 .
[15] Chun Chen,et al. Advertising keyword generation using active learning , 2009, WWW '09.
[16] Aneta Francová,et al. Language of Advertising , 2008 .
[17] Andrei Z. Broder,et al. Just-in-time contextual advertising , 2007, CIKM '07.
[18] Mohammad Suyanto. Electronic commerce (EC) , 2010 .
[19] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[20] W. Härdle. Robertson, T., WrighT, F.T. and R.L. Dykstra: Order restricted statistical inference , 1989 .
[21] Andrei Z. Broder,et al. Efficient query evaluation using a two-level retrieval process , 2003, CIKM '03.
[22] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[23] Andrei Z. Broder,et al. A semantic approach to contextual advertising , 2007, SIGIR.
[24] LiYing,et al. Data mining and audience intelligence for advertising , 2007 .
[25] William R. Hersh,et al. Managing Gigabytes—Compressing and Indexing Documents and Images (Second Edition) , 2001, Information Retrieval.
[26] T. L. Lai Andherbertrobbins. Asymptotically Efficient Adaptive Allocation Rules , 2022 .
[27] Christopher D. Manning,et al. Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[28] Bianca Zadrozny,et al. Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers , 2001, ICML.
[29] Dou Shen,et al. Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising , 2007, KDD 2007.
[30] Gerard Salton,et al. The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .
[31] Wen Zhang,et al. How much can behavioral targeting help online advertising? , 2009, WWW '09.
[32] Filip Radlinski,et al. Search Engines that Learn from Implicit Feedback , 2007, Computer.
[33] Andrei Z. Broder,et al. To swing or not to swing: learning when (not) to advertise , 2008, CIKM '08.
[34] Joshua Goodman,et al. Finding advertising keywords on web pages , 2006, WWW '06.
[35] Andrei Z. Broder,et al. Robust classification of rare queries using web knowledge , 2007, SIGIR.
[36] S. Cherry. Nothing But Net , 2007, IEEE Spectrum.
[37] Deepak Agarwal,et al. fLDA: matrix factorization through latent dirichlet allocation , 2010, WSDM '10.
[38] Berthier A. Ribeiro-Neto,et al. Impedance coupling in content-targeted advertising , 2005, SIGIR '05.
[39] W. Bruce Croft,et al. Search Engines - Information Retrieval in Practice , 2009 .
[40] B. Dervin,et al. Information needs and uses. , 1986 .
[41] Jinbo Bi,et al. Active learning via transductive experimental design , 2006, ICML.
[42] Man Lung Yiu,et al. Group-by skyline query processing in relational engines , 2009, CIKM.
[43] Vassilis Plachouras,et al. A noisy-channel approach to contextual advertising , 2007, ADKDD '07.
[44] Joshua Goodman,et al. Implicit Queries for Email , 2005, CEAS.
[45] Vassilis Plachouras,et al. Online learning from click data for sponsored search , 2008, WWW.
[46] Sean R Eddy,et al. What is dynamic programming? , 2004, Nature Biotechnology.
[47] J. J. Rocchio,et al. Relevance feedback in information retrieval , 1971 .
[48] Aron M. Levin,et al. A MULTI-ATTRIBUTE ANALYSIS OF PREFERENCES FOR ONLINE AND OFFLINE SHOPPING: DIFFERENCES ACROSS PRODUCTS, CONSUMERS, AND SHOPPING STAGES , 2005 .
[49] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[50] Andrei Z. Broder,et al. Automatic generation of bid phrases for online advertising , 2010, WSDM '10.
[51] John F. Canny,et al. Large-scale behavioral targeting , 2009, KDD.
[52] D. Ogilvy. Ogilvy on Advertising , 1983 .
[53] Bee-Chung Chen,et al. Explore/Exploit Schemes for Web Content Optimization , 2009, 2009 Ninth IEEE International Conference on Data Mining.
[54] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[55] Leonid Zhukov,et al. Clustering of bipartite advertiser-keyword graph , 2003 .
[56] B Freydberg. Nothing but net? , 1997, Journal of the California Dental Association.
[57] Ian H. Witten,et al. Managing gigabytes (2nd ed.): compressing and indexing documents and images , 1999 .
[58] Deepayan Chakrabarti,et al. Bandits for Taxonomies: A Model-based Approach , 2007, SDM.
[59] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[60] Andrei Z. Broder,et al. A search-based method for forecasting ad impression in contextual advertising , 2009, WWW '09.
[61] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[62] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[63] Ian H. Witten,et al. Managing Gigabytes: Compressing and Indexing Documents and Images , 1999 .
[64] Daniel C. Fain,et al. Predicting Click-Through Rate Using Keyword Clusters , 2006 .