Christina Lioma

Christina Lioma

Professor


  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 proceedingArticle in proceedingsResearchpeer-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 proceedingArticle in proceedingsResearchpeer-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 proceedingArticle in proceedingsResearchpeer-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 conferencePaperResearchpeer-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 proceedingArticle in proceedingsResearchpeer-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 proceedingArticle in proceedingsResearchpeer-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 proceedingArticle in proceedingsResearchpeer-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 proceedingArticle in proceedingsResearchpeer-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 journalJournal articlepeer-review

ID: 37889644