Exploiting contextual information to improve call prediction

Mehk Fatima, Aimal Rextin, Shamaila Hayat, Mehwish Nasim

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
1 Downloads (Pure)

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.

Original languageEnglish
Article numbere0223780
Number of pages15
JournalPLoS One
Volume14
Issue number10
DOIs
Publication statusPublished - 23 Oct 2019
Externally publishedYes

Keywords

  • phone contacts
  • contact list
  • mobile phone users
  • Call prediction
  • algorithms
  • algorithmic decision making

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