ECONOMIC SOCIOLOGY AND DEMOGRAPHY
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 Nov. 22];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.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.