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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Main Authors | , , , , , |
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Format | Patent |
Language | English |
Published |
14.06.2022
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Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | Application Number: US202016810198 |