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Determining popular and trending content characteristics

  • US 9,898,748 B1
  • Filed: 08/30/2012
  • Issued: 02/20/2018
  • Est. Priority Date: 08/30/2012
  • Status: Expired due to Fees
First Claim
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1. A system for identifying trending content topics, the system comprising:

  • an intermediary system comprising one or more processors and a computer-readable memory, the intermediary system configured to operate as an intermediary between client devices and content sites; and

    executable instructions stored in the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least;

    process a plurality of content requests from a plurality of the client devices, wherein each content request of the plurality of content requests corresponds to a content item of a plurality of content items, and wherein at least two content items of the plurality of content items are hosted by different content sites, said processing comprising retrieving the content items from the content sites and providing the content items to the client devices;

    associate one or more topics, of a plurality of topics, with each content item of the plurality of content items based at least in part on a keyword analysis of the content item, wherein each topic is represented by a respective tag in a mapping table that maps Uniform Resource Locators of content items to corresponding tags;

    generate count values for specific topics of the plurality of topics based on (1) the content requests and (2) the topics associated with corresponding content items, each count value corresponding to a respective topic and representing a measure of how often content items associated with the respective topic are requested, wherein generating the count values comprises maintaining at least first and second count values for a topic, the first count value corresponding to a first geographic region and representing a count of requests made by users in the first geographic region, the second count value corresponding to a second geographic region and representing a count of requests made by users in the second geographic region; and

    generate, based on the count values, topic trend data reflecting topics associated with an increasing volume of content requests, wherein generating the topic trend data comprises using the count values to determine geographic-region-specific rates of change in popularity of particular topics.

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