Christina Lioma

Christina Lioma

Professor

Member of:

    ORCID: 0000-0003-2600-2701

    Publication year:
    All
    1 - 9 out of 9Page size: 500
    1. 2016
    2. Published

      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, p. 107-117 11 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    3. Published

      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, p. 2005-2008 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    4. Published

      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, p. 745-748 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    5. Published

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

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

      Research output: Contribution to conference › Paper › Research › peer-review

    6. Published

      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, p. 1953-1956 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    7. Published

      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, p. 11-20 10 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    8. Published

      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, p. 2161-2166 6 p. (ACM International Conference on Information and Knowledge Management).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    9. Published

      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. (eds.). CEUR-WS.org, p. 73-81 9 p. (CEUR Workshop Proceedings, Vol. 1567).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    10. Published

      Power law distributions in information retrieval

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

      Research output: Contribution to journal › Journal article › Research › peer-review

    ID: 37889644