Poster accepted at WWW 2015
Research Poster Paper
Tweet-Recommender: Finding Relevant Tweets for News Articles
Ralf KrestelDr. Ralf Krestel and Thomas Werkmeister and Timur Pratama Wiradarma and Gjergji Kasneci
Abstract. Twitter has become a prime source for disseminating news and opinions. However, the length of tweets prohibits detailed descriptions; instead, tweets sometimes contain URLs that link to detailed news articles. In this paper, we devise generic techniques for recommending tweets for any given news article. To evaluate and compare the different techniques, we collected tens of thousands of tweets and news articles and conducted a user study on the relevance of recommendations.