Documento de conferencia
Fits like a game: a multi-criteria adaptive gamification for collaborative location-based collecting systems
Fits like a game: a multi-criteria adaptive gamification for collaborative location-based collecting systems
Resumen
This article proposes an adaptive gamification approach based on a Multi-Criteria Recommendation System (MCRS) for Collaborative Location-based Collecting Systems, adapting the gamification to each user, taking into account her preferences and the project’s objectives as a multi-criteria scenario. Specifically, the potentially recommended items are dynamically generated gamification elements, and the recommendation criteria are defined considering two points of view: user preferences and project objectives. Finally, the article includes an evaluation of the proposal and then a discussion of the results.
Palabras clave
Adaptive Gamification
Multi-criteria Recommender Systems
Clustering-based Collaborative Filtering
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