Automatic artist and content breakout prediction
First Claim
1. A method of predicting breakout content, comprising the steps of:
- scraping a network to identify pages that include a name of an entity;
clustering the pages into one or more headline clusters;
counting a number of the headline clusters over a first time period;
counting a number of content consumers for the entity over the first time period and a number of content consumers for the entity over a second time period; and
calculating a value using the number of headline clusters over the first time period, the number of content consumers over the first time period and the number of content consumers over the second time period.
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Accused Products
Abstract
Methods, systems and computer program products for predicting breakout artists and media content. Web content is scraped to identify web pages that include the name of an artist or media item and clusters the web pages into one or more headlines. The number of headlines for the artist or media item that occurred during a first time period and the number of content consumers who played the artist or media item during the first time period and during a second time period are counted. A breakout value is, in turn, calculated for the artist or media item using the number of headlines over the first time period, the number of content consumers during the first time period and the number of content consumers during the second time period.
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Citations
12 Claims
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1. A method of predicting breakout content, comprising the steps of:
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scraping a network to identify pages that include a name of an entity; clustering the pages into one or more headline clusters; counting a number of the headline clusters over a first time period; counting a number of content consumers for the entity over the first time period and a number of content consumers for the entity over a second time period; and calculating a value using the number of headline clusters over the first time period, the number of content consumers over the first time period and the number of content consumers over the second time period. - View Dependent Claims (2, 3, 4)
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5. A system comprising for predicting breakout content, comprising:
a processing unit adapted to scraping a network to identify pages that include a name of an entity; clustering the pages into one or more headline clusters; count a number of the headline clusters over a first time period; count a number of content consumers for the entity over the first time period and a number of content consumers for the entity over a second time period; and calculate a value using the number of headline clusters over the first time period, the number of content consumers over the first time period and the number of content consumers over the second time period. - View Dependent Claims (6, 7, 8)
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9. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which, when executed by an electronic device with one or more processors, cause the electronic device to perform the steps of:
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scraping a network to identify pages that include a name of an entity; clustering the pages into one or more headline clusters; counting a number of the headline clusters over a first time period; counting a number of content consumers for the entity over the first time period and a number of content consumers for the entity over a second time period; and calculating a value using the number of headline clusters over the first time period, the number of content consumers over the first time period and the number of content consumers over the second time period. - View Dependent Claims (10, 11, 12)
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Specification