Christina Lioma

Christina Lioma

Professor

Medlem af:


    1. 2016
    2. Udgivet

      A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval?

      Lioma, Christina, Larsen, B., Lu, W. & Huang, Y., 2016, Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Association for Computing Machinery, s. 107-117 11 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    3. Udgivet

      Adaptive distributional extensions to DFR ranking

      Petersen, C., Simonsen, Jakob Grue, Järvelin, K. & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2005-2008 4 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    4. Udgivet

      An improved multileaving algorithm for online ranker evaluation

      Brost, B., Cox, Ingemar Johansson, Seldin, Yevgeny & Lioma, Christina, 2016, Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval: SIGIR '16. Association for Computing Machinery, s. 745-748 4 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    5. Udgivet

      Deep learning relevance: creating relevant information (as opposed to retrieving it)

      Lioma, Christina, Larsen, B., Petersen, C. & Simonsen, Jakob Grue, 2016. 6 s.

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    6. Udgivet

      Ensemble learned vaccination uptake prediction using web search queries

      Hansen, N. D., Lioma, Christina & Mølbak, K., 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. IEEE, s. 1953-1956 4 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    7. Udgivet

      Exploiting the bipartite structure of entity grids for document coherence and retrieval

      Lioma, Christina, Tarissan, F., Simonsen, Jakob Grue, Petersen, C. & Larsen, B., 2016, Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval. Association for Computing Machinery, s. 11-20 10 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. Udgivet

      Multi-dueling bandits and their application to online ranker evaluation

      Brost, B., Seldin, Yevgeny, Cox, Ingemar Johansson & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2161-2166 6 s. (ACM International Conference on Information and Knowledge Management).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    9. Udgivet

      On the need for and provision of an 'IDEAL' scholarly information retrieval test collection

      Larsen, B. & Lioma, Christina, 2016, Proceedings of the Third Workshop on Bibliometric-enhanced Information Retrieval (BIR 2016), Padova, Italy, March 20, 2016. Mayr, P., Frommholz, I. & Cabanac, G. (red.). CEUR-WS.org, s. 73-81 9 s. (CEUR Workshop Proceedings, Bind 1567).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    10. Udgivet

      Power law distributions in information retrieval

      Petersen, C., Simonsen, Jakob Grue & Lioma, Christina, 2016, I: A C M Transactions on Information Systems. 34, 2, 37 s., 8.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    ID: 37889644