Using Related Mentions to Enhance Link Probability on Online Social Networks

Using Related Mentions to Enhance Link Probability on Online Social Networks

In one embodiment, a method includes accessing a mention table of entries that each have: (1) a string, (2) a count of a number of times the string is used in a corpus, and (3) a count of a number of times the string is linked to another document. The method also includes calculating, for each n-gra...

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Bibliographische Detailangaben
1. Verfasser: Shenoy, Rajesh Krishna
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:In one embodiment, a method includes accessing a mention table of entries that each have: (1) a string, (2) a count of a number of times the string is used in a corpus, and (3) a count of a number of times the string is linked to another document. The method also includes calculating, for each n-gram of a search query from a querying user, a link probability that represents the likelihood that the n-gram corresponds to an entity associated with a communication network. The method also includes identifying content objects that match the search query and ranking the content objects based at least in part on on the calculated link probability. The method also includes sending instructions to present the search results on a client system of the querying user.