Social media platforms have democratized the process of web content creation allowing
mere consumers to become creators and distributors of content. But this has also contributed …

In this research we investigated the role of user controllability on personalized systems by
implementing and studying a novel interactive recommender interface, SetFusion. We …

Consuming news articles is an integral part of our daily lives and news agencies such as
The Washington Post (WP) expend tremendous effort in providing high quality reading …

In this paper, we build a corpus of tweets from Twitter annotated with keywords using
crowdsourcing methods. We identify key differences between this domain and the work …

Predicting news clicks or popularity is of great importance to news providers and
recommender systems. Attractiveness and timeliness of news are two prominent drivers of …

We perform a study on cold-start news popularity prediction using a collection of 13,319
news articles obtained from Yahoo News. We characterise the online popularity of news …

Due to its fast transmission and easy accessibility features, the Internet has replaced
traditional newspapers and magazines as the main channel for delivering public news …

The use of machine learning for NLP generally requires resources for training. Tasks
performed in a low-resource language usually rely on labeled data in another, typically …

Prominent news sites on the web provide hundreds of news articles daily. The abundance of
news content competing to attract online attention, coupled with the manual effort involved in …

News popularity is the maximum growth of attention given for particular news article. Social
networking websites, news websites are used for reading different news. Online news …