Patent Document ID: 9430495
Application ID: 14144211

Base Claim:
1. A computer implemented method comprising: generating a location store comprising a plurality of entries maintained by a social networking system, each entry including a physical location description and one or more terms associated with the physical location description; identifying a plurality of entries having a physical location description within an area; determining a local frequency associated with each term included the identified plurality of entries, the local frequency of a term representing a number of occurrences of the term within the identified plurality of entries; determining a global frequency associated with each term included in the identified plurality of entries, the global frequency of the term representing a number of occurrences of the term within the location store; identifying one or more terms having an associated local frequency exceeding an associated global frequency by at least a threshold amount as trending terms; generating a score for an entry from the plurality of entries based at least in part on one or more difference between terms in the entry from the plurality of entries and terms in an additional entry from a plurality of entries and whether a term in the entry differing from a term in the additional entry is a trending term; and generating a combined entry including terms from the entry and from the additional entry if the score is less than a threshold value.

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Claim 2:
2. The computer implemented method of claim 1 , wherein generating the score for the entry from the plurality of entries comprises: aligning terms in the entry with terms in the additional entry; comparing each term in the entry with a corresponding aligned term in the additional entry; determining a cost associated with each term in the entry based at least in part on a difference between the term in the entry and the corresponding aligned term in the additional entry; generating a modified cost for one or more terms identified as trending terms by discounting a cost associated with a term identified as a trending term; and generating the score based at least in part on the costs and the modified costs.