Layered Evaluation for Data Discovery and Recommendation Systems: An Initial Set of Principles

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,...

Full description

Saved in:
Bibliographic Details
Main Authors: Manouselis, Nikos, Karagiannidis, Charalampos, Sampson, Demetrios G.
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Adaptive systems
Electronic mail
Guidelines
layered evaluation
Measurement
Predictive models
Recommender systems
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2161-3761
2161-377X
DOI:10.1109/ICALT.2014.152