SPARQL, a declarative query language for querying RDF-graphs, supports retrieval of data exclusively based on facts; in contrast Recommender Systems aim to predict the taste of a user towards a set of not consumed items. However, predictions or suggestions are entities that cannot be explicitly retrieved. ReSPARQL is an extension of SPARQL that fills the gap between this two paradigms and enables a generic and flexible approach for recommendations over arbitrary RDF-graphs. It supports content-based, collaborative filtering and hybrid recommendations and allows both paradigms to gain benefit from each other.

Features

  • Recommendations on top of arbitrary RDF-graphs
  • Support of Content-based, Collaborative filtering and Hybrid approach

Project Activity

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License

Apache License V2.0

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Additional Project Details

Programming Language

Java

Registered

2014-04-24
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