Identifying entries in a location store associated with a common physical location

A computer implemented method comprising:

• identifying a plurality of entries from a location store associated with a physical location within an area, each entry in the location store including a physical location description and one or more terms associated with the physical location description;
• identifying one or more terms in the identified plurality of entries having an associated number of occurrences within the plurality of entries that exceeds an associated number of occurrences within the location store 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.

A computer program product comprising a computer-readable storage medium including instructions that, when executed by a processor, cause the processor to:

• generate 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;
• identify a plurality of entries having a physical location description within an area;
• determine 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;
• determine 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;
• identify one or more terms having an associated local frequency exceeding an associated global frequency by at least a threshold amount as trending terms;
• generate 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
• generate a combined entry including terms from the entry and from the additional entry if the score is less than a threshold value.