Do not embarrass: re-examining user concerns for online tracking and advertising.
Lalit AgarwalNisheeth ShrivastavaSharad JaiswalSaurabh PanjwaniPublished in: SOUPS (2013)
Keyphrases
- online advertising
- real time
- display advertising
- internet users
- user experience
- targeted advertising
- user interaction
- information overload
- end users
- user feedback
- particle filter
- user preferences
- contextual advertising
- online services
- mean shift
- online learning
- user interface
- internet marketing
- user satisfaction
- internet advertising
- motion tracking
- target tracking
- moving target
- particle filtering
- appearance model
- kalman filter
- motion model
- user queries
- recommender systems
- neural network