… deep learning network. For DLCPP, we initially determine the metrics that can reflect changes
in content popularity. … predicting content popularity in terms of the number of content blocks …

… of predicting popularity of online content based solely on its title. Predicting popularity in
the … In this paper we propose a method for online content popularity prediction based on a …

… accuracy of popularity prediction, and in turn, the predicted popularity will affect … deep
learning techniques for wireless coded caching in multi-cell networks when the content popularity …

… popularity of an image; namely, visual content and social context. In particular, we examine
the effect of the visual content of an image on its popularity … level, and deep learning features. …

… content popularity prediction becomes more difficult in F-RANs, we propose to learn the
prediction models via deep learning… and the future popularity in the popularity series, and the re…

… estimation refers to predict the post’s popularity using multimodal contents. The prediction
… learning, we propose a novel multimodal deep learning framework for the popularity …

… scenario when sponsored content is to be … deep learning in [2], which has found successful
applications in multiple areas [3], [4], [5], [6] establishing it as a new field of machine learning …

… To overcome these difficulties, in this paper, we design a deep learning based popularity
prediction model, which extracts and fuses the rich information of text content, user and time …

… Machine learning task is represented by binary classification of videos into “popular… content
popularity prediction problem by using methods of machine learning (including deep learning…

… In this paper, the creation of SpotGenTrack Popularity Dataset (SPD) is presented as an …
-end Deep Learning architecture named as HitMusicNet is presented for predicting popularity in …