1. 2018
  2. Evaluating Crowdworkers as a Proxy for Online Learners in Video-Based Learning Contexts

    Davis, D., Hauff, C. & Houben, G-J., 2018, In : ACM Proceedings on Human-Computer Interaction. 2, CSCW, p. 1-16 16 p., 42.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 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

  4. 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

  5. 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

  6. 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

  7. From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place

    Chen, G., Davis, D., Krause, M., Aivaloglou, E., Hauff, C. & Houben, G-J., 2018, In : IEEE Transactions on Learning Technologies. 11, 2, p. 264-274 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Gamifying higher education: Enhancing learning with mobile game app

    Zafar, F., Wong, J. & Khalil, M., 2018, L@S '18 Proceedings of the Fifth Annual ACM Conference on Learning at Scale. New York, NY: Association for Computing Machinery (ACM), p. 1-3 3 p. 28

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

  9. Generating Consensus Explanations for Group Recommendations: An exploratory study

    Najafian, S. & Tintarev, N., 2018, UMAP '18 Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization. New York, NY: Association for Computer Machinery, p. 245-250 6 p.

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

  10. Hazardous Source Estimation Using an Artificial Neural Network, Particle Swarm Optimization and a Simulated Annealing Algorithm

    Wang, R., Chen, B., Qiu, S., Ma, L., Zhu, Z., Wang, Y. & Qiu, X., 2018, In : Atmosphere. 9, 4, 119.

    Research output: Contribution to journalArticleScientificpeer-review

  11. How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk

    Yang, J., van der Valk, C., Hoßfeld, T., Redi, J. & Bozzon, A., 2018, 6th AAAI Conference on Human Computation and Crowdsourcing: HCOMP 2018. Cambridge, MA: American Association for Artificial Intelligence (AAAI), p. 193-202 10 p.

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

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