ISSN (print) - 0131-7652

ISSN (online) - 2686-7605

Vol. 43 No. 3 (2013)
ECONOMIC SOCIOLOGY AND DEMOGRAPHY

Technology of News Streaming Processing for News Personalized Recommendations

PDF (Русский)
  • T. Ignatova,
  • V. Ivichev
T. Ignatova
ООО «Медиалогия», Москва
Bio
V. Ivichev
ООО «Медиалогия», Москва
Bio
DOI: https://doi.org/10.30680/ECO0131-7652-2013-3-183-189

Published 2019-03-26

Keywords

  • INFORMATION SYSTEM,
  • PERSONALIZED RECOMMENDATIONS FOR USERS,
  • CLUSTERING,
  • LINGUISTIC PROCESSING,
  • USER PROFILE

How to Cite

1.
Ignatova Т, Ivichev В. Technology of News Streaming Processing for News Personalized Recommendations. ECO [Internet]. 2019 Mar. 26 [cited 2024 Oct. 6];43(3):183-9. Available from: https://ecotrends.ru/index.php/eco/article/view/2146

Abstract

This article describes the implemented approach to the issue of personalized news, which allows for content and other characteristics of the news, the visibility and relevance of information news occasions, personal preferences, and the result is а personalized recommendations in the structured, dynamic and userfriendly way.
PDF (Русский)

References








1.

Работа выполнена при финансовой поддержке Министерства образования и науки Российской Федерации. УДК 004.031.42.





2.

Das A.S., Datar M., Garg A., and Rajaram S. Google news personalization: scalable online collaborative filtering//In WWW. -2007. -Р. 271-280.





3.

Lei Li, Dingding Wang, Tao Li, Knox D., Balaji Padmanabhan. SCENE: a scalable two-stage personalized news recommendation system. -SIGIR. -2011. -Р. 125-134.





4.

Нейский И.М. Классификация и сравнение методов кластеризации.