DERIVING THE CONTENT OF A SOCIAL NETWORK PRIVATE SITE BASED ON FRIEND ANALYSIS

Patent №

US 8,655,792

Granted

2014-02-18

Filed 2009

Owner

SYMANTEC CORPORATION

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12413409

Content of a private profile/site of a user is derived based on analysis of the user's friend's profiles/sites. A mapping module maps a social networking group with a number of members. A pattern module determines a pattern of publishing activity of each of the members in posting content on sites of other of the members. A profiling module defines a member usage profile for each member based on the pattern. An identification module identifies a private site of a private member of the social networking group to be analyzed. An analysis module analyzes content posted by the private member on public sites of public members of the social networking group. A prediction module predicts responses of the public members to the content posted by the private member based on the member usage profiles of the public members. An estimation module estimates the type and amount of content posted on the private site based on the analysis of the public sites and the prediction based on the member usage profiles.

AI classification

Planning1.00
AI hardware1.00
Knowledge representation0.97
Natural language0.96
Machine learning0.65
Evolutionary computation0.08
Speech0.00
Vision0.00

Ownership

SYMANTEC CORPORATION

assignment · 224650294

Assignors

GAUVIN, WILLIAM

On an employer assignment, the assignors are typically the inventors.

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