Abstract
The development of the Internet has completely changed the way of recommending and disseminating news content. Traditional media forms of news dissemination effectiveness evaluation methods are no longer fully suitable for the evolving needs of new media news dissemination. Therefore, it is necessary to innovate methods for evaluating the effects of new media news dissemination. This article mainly combines personalized recommendation algorithms to evaluate the effectiveness of news dissemination. Currently, popular personalized recommendation algorithms include content-based recommendation algorithms, collaborative filtering recommendation algorithms, knowledge-based recommendation algorithms, and associated recommendation algorithms. These recommendation algorithms are effective. This promotes the dissemination of news, which also recommends news content that is more relevant to user preferences for most users. In addition, the quality of news content is further evaluated through the news rating system, thereby effectively improving the quality of news content.
Highlights
MNews has the function of transmitting various information and guiding public opinion, so news occupies an important position in people’s lives
Due to the wide range of news audiences and high popularity, the evaluation of the dissemination effect of online news involves multiple indicators, which requires the establishment of a relatively complete rating system. e audience of online news is mainly netizens and other media, so this article mainly starts with the behaviors of netizens and media and tries to establish an evaluation model of the effect of online news dissemination
Micromedia is a product of the Internet era. erefore, the main characteristics of micromedia are the miniaturization of news content, the miniaturization of news sources, and the miniaturization of news dissemination paths
Summary
MNews has the function of transmitting various information and guiding public opinion, so news occupies an important position in people’s lives. With the development of information technology, news dissemination channels have gradually changed from traditional media such as newspapers, radio, and television to websites, mobile phones, and the Internet. In the context of the Internet, the speed and quantity of news disseminated by online media are very fast, which makes the news dissemination industry develop very rapidly. Due to the wide range of news audiences and high popularity, the evaluation of the dissemination effect of online news involves multiple indicators, which requires the establishment of a relatively complete rating system. E audience of online news is mainly netizens and other media, so this article mainly starts with the behaviors of netizens and media and tries to establish an evaluation model of the effect of online news dissemination Due to the wide range of news audiences and high popularity, the evaluation of the dissemination effect of online news involves multiple indicators, which requires the establishment of a relatively complete rating system. e audience of online news is mainly netizens and other media, so this article mainly starts with the behaviors of netizens and media and tries to establish an evaluation model of the effect of online news dissemination
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