1 / 8

Automatic Gender Identification using Cell Phone Calling Behavior

Automatic Gender Identification using Cell Phone Calling Behavior. Presented by David. Motivation. Existing gender classification Based on voice Based on image Violate user privacy Purpose of this work understanding how phone usage associated with gender id

yori
Download Presentation

Automatic Gender Identification using Cell Phone Calling Behavior

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Automatic Gender Identification using Cell Phone Calling Behavior Presented by David

  2. Motivation • Existing gender classification • Based on voice • Based on image • Violate user privacy • Purpose of this work • understanding how phone usage associated with gender id • evaluating common approaches for gender id

  3. Call Data Records • Dataset • 2 M calls • 10 K phone numbers • Features • encrypted cell phone numbers of caller and callee • the date and time of the call • the duration of the call • The initial and final location of the caller while making the call

  4. Variables • Behavioral Variables • Number of Calls • Average Duration of Calls • Expenses • Social Variables • In Degree • Out Degree • Degree • Mobility Variables • Talk Distance • Route Distance

  5. Behavior vs. Gender • Ranked distributions charts

  6. Behavior vs. Gender (Cont.) • Ranked distributions charts • Selected features • number of incoming calls • Number of outgoing calls • average duration of incoming calls • average duration of outgoing calls • Expenses • Degree

  7. Gender Classification • SVM • Random Forests

  8. Gender Classification (Cont.) • Semi-supervised (K-means + Labeling + KNN)

More Related