A Semantic Trust-based Recommender System using Trust Ontology

Soude Fazeli; Hendrik Drachsler; Peter Sloep

A Semantic Trust-based Recommender System using Trust Ontology

Soude Fazeli
, Hendrik Drachsler
, Peter Sloep

Research output: Non-textual form and Research tools › Software › Academic

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Abstract

This software provides a recommender system that first creates trust networks of users based on social data of users within a social platform (network) like rating, bookmarking, tagging, commenting, etc. Then, it traverses the trust networks to collect the recommendations for a target user. The output will be also written in OWL files for the purpose of visualisation e.g. with Welkin tool.

Original language	English
Publication status	Published - 14 Jan 2015

Keywords

recommender system
trust

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TrustBasedRecommenderSystem v10Accepted author manuscript, 59.3 KB

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title = "A Semantic Trust-based Recommender System using Trust Ontology",

abstract = "This software provides a recommender system that first creates trust networks of users based on social data of users within a social platform (network) like rating, bookmarking, tagging, commenting, etc. Then, it traverses the trust networks to collect the recommendations for a target user. The output will be also written in OWL files for the purpose of visualisation e.g. with Welkin tool.",

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author = "Soude Fazeli and Hendrik Drachsler and Peter Sloep",

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AU - Drachsler, Hendrik

AU - Sloep, Peter

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PY - 2015/1/14

Y1 - 2015/1/14

N2 - This software provides a recommender system that first creates trust networks of users based on social data of users within a social platform (network) like rating, bookmarking, tagging, commenting, etc. Then, it traverses the trust networks to collect the recommendations for a target user. The output will be also written in OWL files for the purpose of visualisation e.g. with Welkin tool.

AB - This software provides a recommender system that first creates trust networks of users based on social data of users within a social platform (network) like rating, bookmarking, tagging, commenting, etc. Then, it traverses the trust networks to collect the recommendations for a target user. The output will be also written in OWL files for the purpose of visualisation e.g. with Welkin tool.

KW - recommender system

KW - trust

M3 - Software

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A Semantic Trust-based Recommender System using Trust Ontology

Abstract

Keywords

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