Improving Recommender Systems Using Knowledge Obsolescence as a Predictor of Trust

In the current context of the Social Web, trust has emerged as a concept and mechanism to differentiate users of this Social Web and the content they generate. Much effort has been devoted to study trust predictors with the aim to provide some operational use of the concept. We propose in this work...

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Autor principal: Cruz Navea, Pablo
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2017
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/64821
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/CLTM/CLTM-03.pdf
Aporte de:
id I19-R120-10915-64821
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
recommender systems
trust-based recommenders
knowledge obsolescence
trust models
spellingShingle Ciencias Informáticas
recommender systems
trust-based recommenders
knowledge obsolescence
trust models
Cruz Navea, Pablo
Improving Recommender Systems Using Knowledge Obsolescence as a Predictor of Trust
topic_facet Ciencias Informáticas
recommender systems
trust-based recommenders
knowledge obsolescence
trust models
description In the current context of the Social Web, trust has emerged as a concept and mechanism to differentiate users of this Social Web and the content they generate. Much effort has been devoted to study trust predictors with the aim to provide some operational use of the concept. We propose in this work a new predictor for trust: knowledge obsolescence. We provide a characterization of the concept and a description of the relation between trust and knowledge obsolescence. We applied the concept to a generic recommender system. For this purpose, we have developed a software simulator that allow us to test trust and knowledge obsolescence networks in the recommender systems context. Interesting results were obtained. We found that recommender systems success is augmented. Moreover, we found an improvement in some cases for the coverage of potential recommendable items. We did not find statistical significant benefit on the quality of recommendations.
format Objeto de conferencia
Objeto de conferencia
author Cruz Navea, Pablo
author_facet Cruz Navea, Pablo
author_sort Cruz Navea, Pablo
title Improving Recommender Systems Using Knowledge Obsolescence as a Predictor of Trust
title_short Improving Recommender Systems Using Knowledge Obsolescence as a Predictor of Trust
title_full Improving Recommender Systems Using Knowledge Obsolescence as a Predictor of Trust
title_fullStr Improving Recommender Systems Using Knowledge Obsolescence as a Predictor of Trust
title_full_unstemmed Improving Recommender Systems Using Knowledge Obsolescence as a Predictor of Trust
title_sort improving recommender systems using knowledge obsolescence as a predictor of trust
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/64821
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/CLTM/CLTM-03.pdf
work_keys_str_mv AT cruznaveapablo improvingrecommendersystemsusingknowledgeobsolescenceasapredictoroftrust
bdutipo_str Repositorios
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