SPRank: Semantic Path-based Ranking for Top-N Recommendations using Linked Open Data

ACM Transactions on Intelligent Systems and Technology (TIST) - 2016
Download the publication : SPRank Semantic Path-based Ranking for Top-N Recommendations using Linked Open Data - ACM TIST 2016.pdf [1Mo]  

BibTex references


@Article{DOTD16,
author = {Tommaso {Di Noia} and Vito Claudio Ostuni and Paolo Tomeo and Eugenio {Di Sciascio}},
title = "SPRank: Semantic Path-based Ranking for Top-N
Recommendations using Linked Open Data",
journal = "ACM Transactions on Intelligent Systems and
Technology (TIST)",
year = "2016",
note = "to appear",
url = "http://sisinflab.poliba.it/publications/2016/DOTD1
6"
}

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SisInf Lab - Information Systems Laboratory

Research group of Politecnico di Bari
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