期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：6
页码：5265-5267
出版社：TechScience Publications
摘要：In recent trends social media websites, such as Facebook, Twitter, LinkedIn, YouTube and Google+ having certain content will attract much more visitors than others. Predicting the popularity of web content has become an active area of research. Predicting which content will become popular is of interest to website owners and market analysts. Popularity of content in social media is unequally distributed, with some items receiving a more attention from users. In Business analysis which newly submitted items will become popular is critically important for both companies that host social media sites and their users. Understanding what makes one item more popular than another, observing its popularity dynamics and being able to predict its popularity has thus attracted a lot of interest in the past few years. Predicting the popularity of web content is useful in many areas such as network dimensioning, online marketing or real-world outcome prediction. In this review, review of the current findings on web content popularity prediction are made. Here different popularity prediction models, present the features that have shown good predictive capabilities and reveal factors known to influence web content popularity.
关键词：Web content; social media; Popularity; Prediction;Latent Dirichlet Allocation; Predictive Choice Model
