Hootle

Hootle is a hotel recommender system developed to study an approach to group recommendations from the point of intersection of traditional group recommenders and group decision making theory.

The system allows users to collaboratively create a preference model, from which recommendations are generated. In this process, group interaction can happen at two stages: (1) users can online discuss and negotiate preferences stated by others, and (2) they can discuss and rate items taken from the recommendation set to arrive at a final consensus decision.

Related research topic

Recommender Systems

Contact

Jürgen Ziegler

Full Professor

Contributor

Jesús Álvarez Márquez

Former team member

Publications

Negotiation and Reconciliation of Preferences in a Group Recommender System

Álvarez Márquez, J. O., & Ziegler, J. (2018). Journal of Information Processing, 26, 186–200.

Hootle+: A Group Recommender System Supporting Preference Negotiation

Álvarez Márquez, J. O., & Ziegler, J. (2016). In T. Yuizono, H. Ogata, U. H. Hoppe, & J. Vassileva (Eds.), Collaboration and Technology: 22nd International Conference, CRIWG 2016, Kanazawa, Japan, September 14-16, 2016, Proceedings (Vol. 9848, pp. 151–166). Springer.

Preference Elicitation and Negotiation in a Group Recommender System

Álvarez Márquez, J. O., & Ziegler, J. (2015). In J. Abascal, S. Barbosa, M. Fetter, T. Gross, P. Palanque, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2015: 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part II. Springer International Publishing.