Peer recommendation based on comments write on social networks
- Autores
- Aciar, Silvana; Aciar, Gabriela
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Social networks and virtual communities has become a popular communication tool among Internet users. Millions of users share publications about different aspects: educational, personal, cultural, etc. Therefore these social sites are rich sources of information about who can help us solve any problems. In this paper, we focus on using the written comments to recommend a person who can answer a request. An automatic analysis of information using text mining techniques was proposed to select the most suitable users. Experimental evaluations show that the proposed techniques are efficient and perform better than a standard search.
Eje: XV Workshop de Agentes y Sistemas Inteligentes
Red de Universidades con Carreras de Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Intelligent agents
recommender systems
social network
text mining - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/42399
Ver los metadatos del registro completo
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Peer recommendation based on comments write on social networksAciar, SilvanaAciar, GabrielaCiencias InformáticasIntelligent agentsrecommender systemssocial networktext miningSocial networks and virtual communities has become a popular communication tool among Internet users. Millions of users share publications about different aspects: educational, personal, cultural, etc. Therefore these social sites are rich sources of information about who can help us solve any problems. In this paper, we focus on using the written comments to recommend a person who can answer a request. An automatic analysis of information using text mining techniques was proposed to select the most suitable users. Experimental evaluations show that the proposed techniques are efficient and perform better than a standard search.Eje: XV Workshop de Agentes y Sistemas InteligentesRed de Universidades con Carreras de Informática (RedUNCI)2014-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/42399enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:53:58Zoai:sedici.unlp.edu.ar:10915/42399Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:53:58.375SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Peer recommendation based on comments write on social networks |
| title |
Peer recommendation based on comments write on social networks |
| spellingShingle |
Peer recommendation based on comments write on social networks Aciar, Silvana Ciencias Informáticas Intelligent agents recommender systems social network text mining |
| title_short |
Peer recommendation based on comments write on social networks |
| title_full |
Peer recommendation based on comments write on social networks |
| title_fullStr |
Peer recommendation based on comments write on social networks |
| title_full_unstemmed |
Peer recommendation based on comments write on social networks |
| title_sort |
Peer recommendation based on comments write on social networks |
| dc.creator.none.fl_str_mv |
Aciar, Silvana Aciar, Gabriela |
| author |
Aciar, Silvana |
| author_facet |
Aciar, Silvana Aciar, Gabriela |
| author_role |
author |
| author2 |
Aciar, Gabriela |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Intelligent agents recommender systems social network text mining |
| topic |
Ciencias Informáticas Intelligent agents recommender systems social network text mining |
| dc.description.none.fl_txt_mv |
Social networks and virtual communities has become a popular communication tool among Internet users. Millions of users share publications about different aspects: educational, personal, cultural, etc. Therefore these social sites are rich sources of information about who can help us solve any problems. In this paper, we focus on using the written comments to recommend a person who can answer a request. An automatic analysis of information using text mining techniques was proposed to select the most suitable users. Experimental evaluations show that the proposed techniques are efficient and perform better than a standard search. Eje: XV Workshop de Agentes y Sistemas Inteligentes Red de Universidades con Carreras de Informática (RedUNCI) |
| description |
Social networks and virtual communities has become a popular communication tool among Internet users. Millions of users share publications about different aspects: educational, personal, cultural, etc. Therefore these social sites are rich sources of information about who can help us solve any problems. In this paper, we focus on using the written comments to recommend a person who can answer a request. An automatic analysis of information using text mining techniques was proposed to select the most suitable users. Experimental evaluations show that the proposed techniques are efficient and perform better than a standard search. |
| publishDate |
2014 |
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2014-10 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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