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Exploiting contextual information to improve call prediction

With the increase in contact list size of mobile phone users, the management and retrieval of contacts has becomes a tedious job. In this study, we analysed some important dimensions that can effectively contribute in predicting which contact a user is going to call at time t. We improved a state of...

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Detalles Bibliográficos
Autores principales: Fatima, Mehk, Rextin, Aimal, Hayat, Shamaila, Nasim, Mehwish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808380/
https://www.ncbi.nlm.nih.gov/pubmed/31644590
http://dx.doi.org/10.1371/journal.pone.0223780
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author Fatima, Mehk
Rextin, Aimal
Hayat, Shamaila
Nasim, Mehwish
author_facet Fatima, Mehk
Rextin, Aimal
Hayat, Shamaila
Nasim, Mehwish
author_sort Fatima, Mehk
collection PubMed
description With the increase in contact list size of mobile phone users, the management and retrieval of contacts has becomes a tedious job. In this study, we analysed some important dimensions that can effectively contribute in predicting which contact a user is going to call at time t. We improved a state of the art algorithm, that uses frequency and recency by adding temporal information as an additional dimension for predicting future calls. The proposed algorithm performs better in overall analysis, but more significantly there was an improvement in the prediction of top contacts of a user as compared to the base algorithm.
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spelling pubmed-68083802019-11-02 Exploiting contextual information to improve call prediction Fatima, Mehk Rextin, Aimal Hayat, Shamaila Nasim, Mehwish PLoS One Research Article With the increase in contact list size of mobile phone users, the management and retrieval of contacts has becomes a tedious job. In this study, we analysed some important dimensions that can effectively contribute in predicting which contact a user is going to call at time t. We improved a state of the art algorithm, that uses frequency and recency by adding temporal information as an additional dimension for predicting future calls. The proposed algorithm performs better in overall analysis, but more significantly there was an improvement in the prediction of top contacts of a user as compared to the base algorithm. Public Library of Science 2019-10-23 /pmc/articles/PMC6808380/ /pubmed/31644590 http://dx.doi.org/10.1371/journal.pone.0223780 Text en © 2019 Fatima et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fatima, Mehk
Rextin, Aimal
Hayat, Shamaila
Nasim, Mehwish
Exploiting contextual information to improve call prediction
title Exploiting contextual information to improve call prediction
title_full Exploiting contextual information to improve call prediction
title_fullStr Exploiting contextual information to improve call prediction
title_full_unstemmed Exploiting contextual information to improve call prediction
title_short Exploiting contextual information to improve call prediction
title_sort exploiting contextual information to improve call prediction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808380/
https://www.ncbi.nlm.nih.gov/pubmed/31644590
http://dx.doi.org/10.1371/journal.pone.0223780
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