Georgia Tech Research Corporation

Shruti Lall

Raghupathy Sivakumar

Systems and methods for time-shifted prefetching of predicted content for wireless users. Prefetching video data can include retrieving video data and feature data and generating a video candidate set including selected videos of the related video data. The method can further include determining predicted videos using a machine learning algorithm. The predicted videos can be videos of the video candidate set that are likely to be viewed by a user at a future time. The method can further include prefetching the predicted videos by downloading the predicted videos.

Systems and methods for time-shifted prefetching of predicted content for wireless users

The disclosed technology includes systems and methods for time-shifted prefetching of predicted content for wireless users. The disclosed technology can include a method of prefetching video data. The method can include retrieving video data and feature data and generating a video candidate set comprising selected videos. The method can include determining principal components of each video in the video candidate set by performing a principal component analysis. Furthermore, the method can include determining predicted videos using a k-nearest neighbor classifier. The predicted videos can be videos of the video candidate set that are likely to be viewed by a user at a future time. The method can include outputting instructions to the user device to prefetch the predicted videos by downloading the predicted videos to the user device.

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Atlanta, GA, United States of America

Shruti Lall