1. 2018
  2. Digitally Scaffolding Debate in the Classroom.

    Holzer, A., Tintarev, N., Bendahan, S., Greenup, S. & Gillet, D., 2018, Proceedings of the 2018 CHI Conference Extended Abstracts on Human Factors in Computing Systems..

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Effective crowdsourced generation of training data for chatbots natural language understanding

    Bapat, R., Kucherbaev, P. & Bozzon, A., 2018, Web Engineering - 18th International Conference, ICWE 2018, Proceedings. Springer Verlag, Vol. 10845 LNCS. p. 114-128 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10845 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. Effects of Individual Traits on Diversity-aware Music Recommender User Interfaces

    Jin, Y., Tintarev, N. & Verbert, K., 2018, UMAP.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  5. Effects of Personal Characteristics on Music Recommender Systems with Different Levels of Controllability

    Jin, Y., Tintarev, N. & Verbert, K., 2018, RecSys '18 : Proceedings of the 12th ACM Conference on Recommender Systems. New York, NY: Association for Computer Machinery, p. 13-21 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. Enterprise Crowd Computing for Human Aided Chatbots

    Bozzon, A., 2018, Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services. New York, NY: Association for Computing Machinery (ACM), p. 29-30 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. Evaluating Crowdworkers as a Proxy for Online Learners in Video-Based Learning Contexts

    Davis, D., Hauff, C. & Houben, G-J., 2018, CSCW 2018.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  8. Explaining Credibility in News Articles using Cross-Referencing

    Bountouridis, D., Marrero Llinares, M., Tintarev, N. & Hauff, C., 2018, SIGIR workshop on ExplainAble Recommendation and Search (EARS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Explanations for Groups

    Felfernig, A., Tintarev, N., Tran, T. N. T. & Stettinger, M., 2018, Group Recommender Systems. Cham: Springer, p. 105-126 22 p. (SpringerBriefs in Electrical and Computer Engineering).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  10. Feature Engineering for Second Language Acquisition Modeling

    Chen, G., Hauff, C. & Houben, G-J., 2018, Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications. p. 356-364 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  11. From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)

    Ferro, N., Fuhr, N., Grefenstette, G., Konstan, J. A., Castells, P., Daly, E. M., Declerck, T., Ekstrand, M. D., Geyer, W., Gonzalo, J., Kuflik, T., Lindén, K., Magnini, B., Nie, J-Y., Perego, R., Shapira, B., Soboroff, I., Tintarev, N., Verspoor, K., Willemsen, M. C. & 2 othersZobel, J. & al., N. F. E. (ed.), 2018, In : Dagstuhl Manifestos. 7, 1, p. 96-139 44 p.

    Research output: Contribution to journalArticleScientific

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