An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles
In this article we present a method to recommend articles scientists taking into account their degree of generality or specificity. In terms of methodology, two approaches are presented to recommend articles based on Topic Modeling. The first of these is based on the divergence of topics that are gi...
- Autores:
-
silva d, jesus g
Vargas Villa, Jesús
Cabrera, Danelys
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_f744
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5128
- Acceso en línea:
- http://hdl.handle.net/11323/5128
https://repositorio.cuc.edu.co/
- Palabra clave:
- Information retrieval
Recommender systems
Topic modelling
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles |
| title |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles |
| spellingShingle |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles Information retrieval Recommender systems Topic modelling |
| title_short |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles |
| title_full |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles |
| title_fullStr |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles |
| title_full_unstemmed |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles |
| title_sort |
An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles |
| dc.creator.fl_str_mv |
silva d, jesus g Vargas Villa, Jesús Cabrera, Danelys |
| dc.contributor.author.spa.fl_str_mv |
silva d, jesus g Vargas Villa, Jesús Cabrera, Danelys |
| dc.subject.spa.fl_str_mv |
Information retrieval Recommender systems Topic modelling |
| topic |
Information retrieval Recommender systems Topic modelling |
| description |
In this article we present a method to recommend articles scientists taking into account their degree of generality or specificity. In terms of methodology, two approaches are presented to recommend articles based on Topic Modeling. The first of these is based on the divergence of topics that are given in the documents, while the second is based on the similarity between these topics. After a validation process it was demonstrated that the proposed methods are more efficient than the traditional methods. |
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2019 |
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2019-07-31T22:41:39Z |
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2019-07-31T22:41:39Z |
| dc.date.issued.none.fl_str_mv |
2020 |
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http://purl.org/coar/resource_type/c_c94f |
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http://purl.org/coar/resource_type/c_f744 |
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http://hdl.handle.net/11323/5128 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
| dc.rights.spa.fl_str_mv |
CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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info:eu-repo/semantics/openAccess |
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CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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Universidad de la Costa |
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Corporación Universidad de la Costa |
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silva d, jesus gVargas Villa, JesúsCabrera, Danelys2019-07-31T22:41:39Z2019-07-31T22:41:39Z2020http://hdl.handle.net/11323/5128Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In this article we present a method to recommend articles scientists taking into account their degree of generality or specificity. In terms of methodology, two approaches are presented to recommend articles based on Topic Modeling. The first of these is based on the divergence of topics that are given in the documents, while the second is based on the similarity between these topics. After a validation process it was demonstrated that the proposed methods are more efficient than the traditional methods.silva d, jesus g-will be generated-orcid-0000-0003-3555-9149-600Vargas Villa, JesúsCabrera, Danelys-will be generated-orcid-0000-0002-9486-9764-0engUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Information retrievalRecommender systemsTopic modellingAn intelligent approach to design and development of personalized meta search: Recommendation of scientific articlesDocumento de Conferenciahttp://purl.org/coar/resource_type/c_f744http://purl.org/coar/resource_type/c_c94fTextinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/redcol/resource_type/ECinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALAn intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdfAn intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdfapplication/pdf173119https://repositorio.cuc.edu.co/bitstreams/a11a26bb-5d17-4f3d-b425-9b811dc0b195/download2ac7840bea8c9d1818991f3289ec128fMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/7930afbf-4db9-4606-a37d-2c87f08a1deb/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/885b4083-2c92-47ea-883c-10dc03b465ea/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILAn intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdf.jpgAn intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdf.jpgimage/jpeg29796https://repositorio.cuc.edu.co/bitstreams/9cf9b79f-0858-4556-86ca-6cfbcf54ecde/download885d51bbde7ac26813e020d544e3b18cMD55TEXTAn intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdf.txtAn intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdf.txttext/plain757https://repositorio.cuc.edu.co/bitstreams/9619619a-b952-4333-ad6c-58fed35d8c3b/downloadbd92443d254087596e8bc606dd0c2012MD5611323/5128oai:repositorio.cuc.edu.co:11323/51282024-09-16 16:38:38.581http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.coTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo= |