Gaze Prediction for Recommender Systems

@inproceedings{Zhao2016GazePF,
  title={Gaze Prediction for Recommender Systems},
  author={Qian Zhao and Shuo Chang and F. Maxwell Harper and Joseph A. Konstan},
  booktitle={RecSys},
  year={2016}
}
As users browse a recommender system, they systematically consider or skip over much of the displayed content. It seems obvious that these eye gaze patterns contain a rich signal concerning these users' preferences. However, because eye tracking data is not available to most recommender systems, these signals are not widely incorporated into personalization models. In this work, we show that it is possible to predict gaze by combining easily-collected user browsing data with eye tracking data… CONTINUE READING

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