Using twitter to recommend real-time topical news

@inproceedings{Phelan2009UsingTT,
  title={Using twitter to recommend real-time topical news},
  author={Owen Phelan and Kevin McCarthy and Barry Smyth},
  booktitle={RecSys},
  year={2009}
}
Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to news recommendation that harnesses real-time micro-blogging activity, from a service such as Twitter, as the basis for promoting news stories from a user's favourite RSS feeds. A preliminary evaluation is carried out on an implementation of this technique that shows promising results. 
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 368 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 242 extracted citations

368 Citations

0204060'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 368 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…