FReSET - An Evaluation Framework for Folksonomy-based Recommender Systems
Key: DBA+12-5
Author: Renato Dominguez Garcia, Matthias Bender, Mojisola Anjorin, Christoph Rensing, Ralf Steinmetz
Date: September 2012
Kind: In proceedings
Publisher: ACM
Book title: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
Keywords: Evaluation, Folksonomy, Framework, Recommender Systems, Tagging, Web 2.0
Abstract: FReSET is a new recommender systems evaluation framework aiming to support research on folksonomy-based recommender systems. It provides interfaces for the implementation of folksonomy-based recommender systems and supports the consistent and reproducible offline evaluations on historical data. Unlike other recommender systems framework projects, the emphasis here is on providing a flexible framework allowing users to implement their own folksonomy-based recommender algorithms and pre-processing filtering methods rather than just providing a collection of collaborative filtering implementations. FReSET includes a graphical interface for result visualization and different cross-validation implementations to complement the basic functionality.
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