Exploiting contextual information to improve call prediction

PLoS One. 2019 Oct 23;14(10):e0223780. doi: 10.1371/journal.pone.0223780. eCollection 2019.

Abstract

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.

MeSH terms

  • Algorithms*
  • Cell Phone / statistics & numerical data*
  • Cell Phone Use / statistics & numerical data*
  • Cognition
  • Computer Simulation
  • Humans
  • Surveys and Questionnaires

Associated data

  • Dryad/10.5061/dryad.xpnvx0k9t

Grants and funding

The author(s) received no specific funding for this work.