1. 2018
  2. Effective crowdsourced generation of training data for chatbots natural language understanding

    Bapat, R., Kucherbaev, P. & Bozzon, A., 1 Jun 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

  3. Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques, and Assurance Actions

    Daniel, F., Kucherbaev, P., Cappiello, C., Benatallah, B. & Allahbakhsh, M., 1 Jan 2018, In : ACM Computing Surveys: the survey and tutorial journal of the ACM. 51, 1, p. 7:1-7:40 40 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Human Aided Bots

    Kucherbaev, P., Bozzon, A. & Houben, G-J., 2018, In : IEEE Internet Computing. PP, 99, p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 2017
  6. Chatbots as conversational recommender systems in urban contexts

    Kucherbaev, P., Psyllidis, A. & Bozzon, A., 2017, CitRec '17 Proceedings of the International Workshop on Citizens for Recommender Systems. New York: Association for Computing Machinery (ACM), p. 1-2 2 p. 6

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

  7. Ephemeral Context to Support Robust and Diverse Recommendations

    Kucherbaev, P., Tintarev, N. & Rodriguez, C., 2017, Machine Learning for Music Discovery workshop at ICML'17.

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

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