Title :
Layered Evaluation for Data Discovery and Recommendation Systems: An Initial Set of Principles
Author :
Manouselis, Nikos ; Karagiannidis, Charalampos ; Sampson, Demetrios G.
Author_Institution :
Agro-Know, Athens, Greece
Abstract :
This paper examines how a layered evaluation framework proposed for adaptive systems (AS) can be applied in the case of recommender systems (RecSys). Our analysis indicates that implementing a layered-based evaluation has the potential to facilitate a more detailed and informed evaluation of RecSys, allowing researchers and developers to better understand how to improve them.
Keywords :
data mining; recommender systems; AS; RecSys; adaptive systems; data discovery; layered evaluation framework; recommendation systems; recommender systems; Adaptation models; Adaptive systems; Electronic mail; Guidelines; Measurement; Predictive models; Recommender systems; adaptive systems; layered evaluation; recommender systems;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
DOI :
10.1109/ICALT.2014.152
