… In our method, the ranking score for recommending a candidate news to a target user is
the combination of a … Thus, we incorporate CTR into news popularity prediction. Besides, …

… success probability (ASP) for a known content popularity (CP) profile, which in practice is …
two online prediction (OP) methods for forecasting CP viz., popularity prediction model (PPM…

… on popularity prediction, this article presents a hierarchical taxonomy and helps to establish
a systematic overview of popularity prediction … Furthermore, we also categorize prediction …

… the class prediction of a Gaussian Mixture Model (GMM) … We observe that neither ItemKNN
nor Most Popular (that is used as … Automatic online news topic ranking using media focus and …

… , classify, and predict fake and real news. The remainder of this … domain rankings of Web
sites which publish fake or real news in … on these popular fake and real news reveal substantial …

… We focus on the most popular recommendation models that … This work introduces a novel
predictor to include various … are not optimized for ranking the items (eg, news items). The …

… predict the rating of the user u on a new item i one calculates the weighted average of past
ratings… are “yesterdays news” and other may enjoy a boost in popularity because they are …

… information popularity prediction methods, from feature engi- … Research works that we reviewed
were published in high-ranking … First, popularity prediction can be considered as either a …

… [46] and general popularity [19] are taken … predicting ratings, our approach learns a
representation of an article’s content by training a separate neural network for a side task—predicting …

… has indeed become more socialized, then a different set of psychological processes to those
known to predict news consumption offline may come into play on SNS. Thus, the study set …