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ЖУРНАЛЫ // Проблемы управления

Пробл. управл., 2014, выпуск 3, страницы 57–63 (Mi pu851)

Усовершенствованный алгоритм оптимизации показов рекламы в поисковых системах и результаты экспериментов
А. Н. Сорокина, А. Я. Червоненкис

ЛИТЕРАТУРА

1. Корнетова А. Н., Червоненкис А. Я., “Оптимизация показов рекламы в поисковых системах”, Проблемы управления, 2013, № 1, 40–49  mathnet
2. Kumar R., Mahdian M., Li E., et al., Systems and methods for exploring new sponsored search listings of uncertain quality, 2009
3. Edelman B., Ostrovsky M., Schwarz M., “Internet advertising and the generalized second price auction: Selling billions of dollars worth of keywords”, American Economic Review, 97:1 (2007), 242–259  crossref  mathscinet
4. Fain D. C., Pedersen J. O., “Sponsored search: A brief history”, Bulletin of the American Society for Information Science and Technology, 32:2 (2006), 12–13  crossref
5. Graepel T., Candela J. Q., Borchert T., Herbrich R., “Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft's bing search engine”, ICML 2010, Proc. of 27th Intern. Conf. on Machine Learning, 13–20
6. Feng J., Bhargava H. K., Pennock D. M., “Implementing sponsored search in web search engines: Computational evaluation of alternative mechanisms”, INFORMS Journal on Computing, 19:1 (2007), 137–148  crossref  isi
7. Ghose A., Yang S., “An empirical analysis of search engine advertising: Sponsored search in electronic markets”, Management Science, 55:10 (2009), 1605–1622  crossref  isi
8. Graepel T., et al., “Web-scale Bayesian click-through rate prediction for sponsored search advertising in Microsoft's Bing search engine”, ICML 2010, Proc. of 27th Intern. Conf. on Machine Learning, 13–20
9. Lahaie S., Pennock D. M., “Revenue analysis of a family of ranking rules for keyword auctions”, Proc. of the 8th ACM Conf. on Electronic Commerce, ACM, 2007, 50–56
10. Radlinski F., et al., “Optimizing relevance and revenue in ad search: a query substitution approach”, Proc. of the 31st Annual Intern. ACM SIGIR Conf. on Research and Development in Information Retrieval, ACM, 2008, 403–410  crossref
11. Feuerstein E., et al., “New Stochastic Algorithms for Scheduling Ads in Sponsored Search”, Web Conference LA-WEB 2007, IEEE, Latin American, 2007, 22–31  crossref
12. Richardson M., Dominowska E., Ragno R., “Predicting clicks: estimating the click-through rate for new ads”, Proc. of the 16th Intern. Conf. on World Wide Web, ACM, 2007, 521–530  crossref
13. Zhu Z. A., et al., “A novel click model and its applications to online advertising”, Proc. of the Third ACM Intern. Conf. on Web Search and Data Mining, ACM, 2010, 321–330  crossref
14. Кун Г. У., Таккер А. У., Линейные неравенства и смежные вопросы, Изд-во иностр. литературы, М., 1959


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