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A Method for Evaluating Online News Value and Personalization
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 Title & Authors
A Method for Evaluating Online News Value and Personalization
Choi, Kwang Sun; Kim, Soo Dong;
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 Abstract
The purpose of this paper is to propose a method for recommendation and personalization of important news articles based on evaluating news value. Evaluation of news is the approach by which editors select news articles for cover-story in traditional offline news papers area. For this, my study proposes a suite of methods to select and personalize a set of news based on evaluating news articles, not just on the personal preference for them. The aforementioned the value of news articles including social impact, novelty, relevance to each audience, and human interest, all of which have been factorized in many previous studies, is a main concept for a procedural and structural application methodology deduced in this study. After a comparative case study with other online news services, it was shown that my research provides more effective way to select important news articles in terms of user satisfaction than others.
 Keywords
Content Recommendation;Online News Valuation;News Article Recommendation;Consumer Preference;Personalizaion;
 Language
Korean
 Cited by
 References
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