Exploiting contextual information to improve call prediction


Autoři: Mehk Fatima aff001;  Aimal Rextin aff002;  Shamaila Hayat aff002;  Mehwish Nasim aff003
Působiště autorů: Department of Computer Science & Information Technology, University of Lahore, Gujrat Campus, Gujrat, Pakistan aff001;  Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan aff002;  Data61, CSIRO, Adelaide, Australia aff003
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
doi: 10.1371/journal.pone.0223780

Souhrn

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.

Klíčová slova:

Algorithms – Behavior – Cell phones – Circadian rhythms – Quantitative analysis – Social communication – Switzerland – Information retrieval


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Článek vyšel v časopise

PLOS One


2019 Číslo 10