Patent Document ID: 7613690
Application ID: 11384418

Base Claim:
1. A method, performed at least in part by a computer, for identifying a reason that a search topic is popular, the method comprising: receiving an indication of a search topic that is popular, the search topic that is popular being related to a particular entity; in response to receiving the indication of the search topic that is popular, identifying a content feed from an electronic source of published information that includes content published less than a threshold period of time prior to the search topic becoming popular, the content of the content feed including metadata; determining whether the content, of the identified content feed, published less than the threshold period of time prior to the search topic becoming popular is relevant to the search topic; in response to a determination that the content, of the identified content feed, published less than the threshold period of time prior to the search topic becoming popular is relevant to the search topic: analyzing the content, of the identified content feed, published less than the threshold period of time prior to the search topic becoming popular, analyzing the content comprising determining that the content and metadata of the content feed are related to the same particular entity as the search topic; determining a reason that the search topic is popular based on the analysis, determining the reason comprising, when the content identifies the search topic, providing at least some of the content as the reason that the search topic is popular; and presenting to a user the search topic that is popular and the determined reason that the search topic is popular; and summarizing content of more than one content feed when the content of more than one content feed relates to the same particular entity as the search topic.

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Claim 7:
7. The method of claim 1 wherein the content feed from an electronic source of published information includes at least one of electronic data feeds, news, weblogs, or other online content.