Architecture for predicting network access probability of data files accessible over a computer network

Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algo...

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Bibliographic Details
Main Authors Chester, David, Lester, Kevin Scott, Hurst, Nathan, Lev-Tov, Manor, Chavez, Alexander, Hohwald, Heath
Format Patent
LanguageEnglish
Published 14.06.2022
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Summary:Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.
Bibliography:Application Number: US202016810198