What is it about?
Allied is a framework for evaluating and deploying algorithms for a recommendation based on linked data.
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Why is it important?
This paper describes how Linked Data based recommendation algorithms were re-implemented in order to measure their accuracy and performance in different application domains and without being bound to a unique dataset. Moreover, application developers can use this framework as the main component for recommendation in a given architecture. Additionally, This paper describes a new recommendation algorithm that adapts its behavior dynamically according to the characteristics of the dataset on which it is applied.
Perspectives
I hope this paper helps researchers to create, implement and test various combinations of recommendation algorithms to create novel and accurate recommender systems.
PhD Cristhian Figueroa
Politecnico di Torino
Read the Original
This page is a summary of: Allied, International Journal on Semantic Web and Information Systems, October 2017, IGI Global,
DOI: 10.4018/ijswis.2017100107.
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