CCS →  Information systems →  Information retrieval →  Retrieval tasks and goals →  Information extraction

Recent papers on Information extraction

  1. Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools -
    Proceedings of the 1st ACM International Health Informatics Symposium
  2. A comparison of meSH terms and CiteULike social tags as metadata for the same items -
    Proceedings of the 1st ACM International Health Informatics Symposium
  3. Beyond lists: studying the effect of different recommendation visualizations - 2012
    Denis Parra
    Proceedings of the sixth ACM conference on Recommender systems
  4. Finding a needle in a haystack of reviews: cold start context-based hotel recommender system - 2012
    Asher Levi, Osnat Mokryn, Christophe Diot, Nina Taft
    Proceedings of the sixth ACM conference on Recommender systems
  5. I've got 10 million songs in my pocket: now what? - 2012
    Paul B. Lamere
    Proceedings of the sixth ACM conference on Recommender systems
  6. Constrained collective matrix factorization - 2012
    Yu-Jia Huang, Evan Wei Xiang, Rong Pan
    Proceedings of the sixth ACM conference on Recommender systems
  7. Dynamically selecting an appropriate context type for personalisation - 2012
    Tomaš Kramár, Mária Bieliková
    Proceedings of the sixth ACM conference on Recommender systems
  8. Multiple objective optimization in recommender systems - 2012
    Mario Rodriguez, Christian Posse, Ethan Zhang
    Proceedings of the sixth ACM conference on Recommender systems
  9. FReSET: an evaluation framework for folksonomy-based recommender systems - 2012
    Renato Domínguez García, Matthias Bender, Mojisola Anjorin, Christoph Rensing, Ralf Steinmetz
    Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
  10. Local implicit feedback mining for music recommendation - 2012
    Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu
    Proceedings of the sixth ACM conference on Recommender systems

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