Maria Maistro

Maria Maistro

Assistant professor, tenure track, Tenure Track Assistant Professor

Member of:


    1. Published

      Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game

      Lesniak, K. K. & Maistro, Maria, 2022, 2022 IEEE Conference on Games, CoG 2022. IEEE Computer Society Press, p. 64-71 8 p. (IEEE Conference on Computatonal Intelligence and Games, CIG, Vol. 2022-August).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    2. E-pub ahead of print

      Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study

      Rampisela, Theresia Veronika, Maistro, Maria, Ruotsalo, Tuukka & Lioma, Christina, 2024, (E-pub ahead of print) In: ACM Transactions on Recommender Systems. 55 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Gamification for IR: The query aspects game

      Di Nunzio, G. M., Maistro, Maria & Zilio, D., 1 Jan 2016, In: CEUR Workshop Proceedings. 1749

      Research output: Contribution to journalConference articleResearchpeer-review

    4. Gamification for machine learning: The classification game

      Nunzio, G. M. D., Maistro, Maria & Zilio, D., 1 Jan 2016, In: CEUR Workshop Proceedings. 1642, p. 45-52 8 p.

      Research output: Contribution to journalConference articleResearchpeer-review

    5. Published

      Graph-Based Recommendation for Sparse and Heterogeneous User Interactions

      Bruun, Simone Borg, Leśniak, K. K., Biasini, M., Carmignani, V., Filianos, P., Lioma, Christina & Maistro, Maria, 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Springer, p. 182-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13980 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    6. Published

      How to Measure the Reproducibility of System-oriented IR Experiments

      Breuer, T., Ferro, N., Fuhr, N., Maistro, Maria, Sakai, T., Schaer, P. & Soboroff, I., 2020, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 349-358 10 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    7. How to Robustly Combine Judgements from Crowd Assessors with AWARE

      Ferrante, M., Ferro, N. & Maistro, Maria, 1 Jan 2018, In: CEUR Workshop Proceedings. 2161, p. 1DUMMY

      Research output: Contribution to journalConference articleResearchpeer-review

    8. Injecting user models and time into precision via Markov chains

      Ferrante, M., Ferro, N. & Maistro, Maria, 1 Jan 2014, SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. ASSOCIATION FOR COMPUTING MACHINERY. JOU, p. 597-606 10 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    9. LEARning Next gEneration Rankers (LEARNER 2017)

      Ferro, N., Lucchese, C., Maistro, Maria & Perego, R., 1 Oct 2017, ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc., p. 331-332 2 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    10. Published

      Learning Recommendations from User Actions in the Item-poor Insurance Domain

      Bruun, Simone Borg, Maistro, Maria & Lioma, Christina, 2022, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., p. 113-123 11 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    ID: 210598112