Indirect Keyword Recommendation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Helping users to find useful contacts or potentially interesting subjects is a challenge for social and productive networks. The evidence of the content produced by users must be considered in this task, which may be simplified by the use of the meta-data associated with the content, i.e., The categorization supported by the network -- descriptive keywords, or tags. In this paper we present a model that enables keyword discovery methods through the interpretation of the network as a graph, solely relying on keywords that categorize or describe productive items. The model and keyword discovery methods presented in this paper avoid content analysis, and move towards a generic approach to the identification of relevant interests and, eventually, contacts. The evaluation of the model and methods is executed by two experiments that perform frequency and classification analyses over the Flickr network. The results show that we can efficiently recommend keywords to users.
Original languageEnglish
Title of host publicationIEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
PublisherIEEE Computer Society
Pages384-391
ISBN (Electronic)978-1-4799-4143-8
ISBN (Print)978-1-4799-4143-8
DOIs
Publication statusPublished - Jun 2014
EventThe 2014 IEEE/WIC/ACM International Conference on Web Intelligence - Warsaw, Warsaw, Poland
Duration: 11 Aug 201414 Aug 2014
http://wic2014.mimuw.edu.pl/

Conference

ConferenceThe 2014 IEEE/WIC/ACM International Conference on Web Intelligence
Abbreviated titleWIC 2014
CountryPoland
CityWarsaw
Period11/08/1414/08/14
Internet address

Fingerprint

Metadata
Experiments

Keywords

  • Context
  • Social Network Services
  • Feature extraction
  • Training
  • Analytical models
  • Production
  • Collaborative work

Cite this

Sabino, A., Rodrigues, A., & Goulão, M. C. P. A. (2014). Indirect Keyword Recommendation. In IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (pp. 384-391). IEEE Computer Society. https://doi.org/10.1109/WI-IAT.2014.60
Sabino, André ; Rodrigues, Armanda ; Goulão, Miguel Carlos Pacheco Afonso. / Indirect Keyword Recommendation. IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE Computer Society, 2014. pp. 384-391
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title = "Indirect Keyword Recommendation",
abstract = "Helping users to find useful contacts or potentially interesting subjects is a challenge for social and productive networks. The evidence of the content produced by users must be considered in this task, which may be simplified by the use of the meta-data associated with the content, i.e., The categorization supported by the network -- descriptive keywords, or tags. In this paper we present a model that enables keyword discovery methods through the interpretation of the network as a graph, solely relying on keywords that categorize or describe productive items. The model and keyword discovery methods presented in this paper avoid content analysis, and move towards a generic approach to the identification of relevant interests and, eventually, contacts. The evaluation of the model and methods is executed by two experiments that perform frequency and classification analyses over the Flickr network. The results show that we can efficiently recommend keywords to users.",
keywords = "Context, Social Network Services, Feature extraction, Training, Analytical models, Production, Collaborative work",
author = "Andr{\'e} Sabino and Armanda Rodrigues and Goul{\~a}o, {Miguel Carlos Pacheco Afonso}",
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Sabino, A, Rodrigues, A & Goulão, MCPA 2014, Indirect Keyword Recommendation. in IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE Computer Society, pp. 384-391, The 2014 IEEE/WIC/ACM International Conference on Web Intelligence, Warsaw, Poland, 11/08/14. https://doi.org/10.1109/WI-IAT.2014.60

Indirect Keyword Recommendation. / Sabino, André; Rodrigues, Armanda; Goulão, Miguel Carlos Pacheco Afonso.

IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE Computer Society, 2014. p. 384-391.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Indirect Keyword Recommendation

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Sabino A, Rodrigues A, Goulão MCPA. Indirect Keyword Recommendation. In IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE Computer Society. 2014. p. 384-391 https://doi.org/10.1109/WI-IAT.2014.60