Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Publications

Tweet-Recommender: Finding Relevant Tweets for News Articles

Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci
In Proceedings of the 24th International World Wide Web Conference (WWW), 5 2015 ACM.

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.

BibTeX file

@inproceedings{krestel15www,
author = { Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci },
title = { Tweet-Recommender: Finding Relevant Tweets for News Articles },
year = { 2015 },
month = { 5 },
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. },
publisher = { ACM },
booktitle = { Proceedings of the 24th International World Wide Web Conference (WWW) },
priority = { 0 }
}

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last change: Sun, 31 May 2015 18:16:07 +0200