Learning from User Interactions for Recommending Content in Social Media

  • Mathias Breuss
  • Manos Tsagkias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)


We study the problem of recommending hyperlinks to users in social media in the form of status updates. We start with a candidate set of links posted by a user’s social circle (e.g., friends, followers) and rank these links using a combination of (i) a user interaction model, and (ii) the similarity of a user profile and a candidate link. Experiments on two datasets demonstrate that our method is robust and, on average, outperforms, a strong chronological baseline.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Abel, F., Gao, Q., Houben, G.-J., Tao, K.: Semantic enrichment of Twitter posts for user profile construction on the social web. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part II. LNCS, vol. 6644, pp. 375–389. Springer, Heidelberg (2011)Google Scholar
  2. 2.
    Abel, F., Gao, Q., Houben, G.-J., Tao, K.: Analyzing user modeling on twitter for personalized news recommendations. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 1–12. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  3. 3.
    Anagnostopoulos, A., Kumar, R., Mahdian, M.: Influence and correlation in social networks. In: KDD 2008, pp. 7–15. ACM (2008)Google Scholar
  4. 4.
    Chen, J., Nairn, R., Nelson, L., Bernstein, M., Chi, E.: Short and tweet: experiments on recommending content from information streams. In: CHI 2010, pp. 1185–1194. ACM (2010)Google Scholar
  5. 5.
    He, D., Wu, D.: Toward a robust data fusion for document retrieval. In: NLP-KE 2008, pp. 1–8 (2008)Google Scholar
  6. 6.
    Huberman, B.A., Romero, D.M., Wu, F.: Social networks that matter: Twitter under the microscope. CoRR (2008)Google Scholar
  7. 7.
    Massoudi, K., Tsagkias, M., de Rijke, M., Weerkamp, W.: Incorporating query expansion and quality indicators in searching microblog posts. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 362–367. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Petrovic, S., Osborne, M., Lavrenko, V.: RT to win! Predicting message propagation in Twitter. In: AAAI 2011 (2011)Google Scholar
  9. 9.
    Xu, Z., Zhang, Y., Wu, Y., Yang, Q.: Modeling user posting behavior on social media. In: SIGIR 2012, pp. 545–554. ACM (2012)Google Scholar
  10. 10.
    Yan, R., Lapata, M., Li, X.: Tweet recommendation with graph co-ranking. In: ACL 2012, pp. 516–525. ACL (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mathias Breuss
    • 1
  • Manos Tsagkias
    • 1
  1. 1.ISLAUniversity of AmsterdamAmsterdamThe Netherlands

Personalised recommendations