Generating company profiles based on member data

Patent metadata

Field	Value
Publication number	US-10445701-B2
Application number	US-201514602120-A
Country	US
Kind code	B2
Filing date	Jan 21, 2015
Priority date	Nov 6, 2014
Publication date	Oct 15, 2019
Grant date	Oct 15, 2019

Abstract

Techniques for automatically generating a company profile in a social network are described. A profile generation module can access employment data from a member profile in a social network. Additionally, the profile generation module can determine an employer based on the accessed employment data. Furthermore, the profile generation module can verify that the determined company does not have an existing entity profile in the social network. Moreover, the profile generation module can authenticate the verified employer based on member data from the social network. Subsequently, the profile generation module can generate and post the entity profile on the social network.

First claim

What is claimed is:

1. A method comprising:
accessing, by a profile generation module operating on a server, employment data from a member profile of a first member in a social network, the employment data stored in a profile database;
determining, by the profile generation module, an employer based on the accessed employment data;
retrieving, by the profile generation module, a plurality of other member profiles in the social network listing the determined employer as an employer;
calculating, by the profile generation module, a connection density among the member profile of the first member and the other member profiles;
validating, by the profile generation module, that one or more members, including the first member, is an employee of the determined employer based on the connection density;
verifying, by the profile generation module, that the determined employer does not have an existing entity profile in the social network;
authenticating, by the profile generation module, the verified employer based on member data corresponding to the validated one or more members from the social network;
generating, by the profile generation module, a web page comprising an entity profile for the authenticated employer using the member data corresponding to the validated one or more members;
sending the generated web page from the profile generation module to an application server to cause a presentation of the generated entity profile in a user interface on the social network;
using, by the profile generation module one or more machine-learning techniques to determine a member to request to manage the generated entity profile based on member title and based on member engagement value, wherein the member engagement value is based on member activity and behavior data; and
transmitting a request, via the user interface, to the determined member to request to manage the generated entity profile, the request asking the determined member to act as an administrator of the generated entity profile.

2. The method of claim 1 , wherein the generated entity profile includes an entity name of the employer, an entity location, a website associated with the employer, and an industry associated with the employer.

3. The method of claim 1 , wherein the generating comprises forming a web page readable by a web browser.

4. The method of claim 1 , wherein the authentication includes:
calculating a member engagement value based on member activity and behavior data corresponding to the member profile, the member activity and behavior data having a number of page views in the social network; and
authenticating the verified employer based on the generated engagement value.

5. The method of claim 1 , wherein the authentication includes:
calculating a member ranking score based on social graph data corresponding to the member profile, the social graph data having a number of connections; and
authenticating the verified employer based on the generated engagement value.

6. The method of claim 1 , further comprising:
calculating a confidence level for the verified employer, the confidence level corresponding to a probability that the member is an employee of the employer; and
wherein the verified employer is not authenticated when the confidence level is below a predetermined threshold.

7. The method of claim 1 , wherein the verification includes:
determining that a website associated with the employer is not the same as a website associated with another entity profile in the social network.

8. The method of claim 1 , wherein the verification includes:
determining that a company name and a location associated with the employer is not the same as a company name and a location associated with another entity profile in the social network.

9. A social network system comprising:
a first database storing member profile data and entity profile data;
a second database storing having social graph data;
a third database storing member activity and behavior data;
a server comprising one or more processors and implementing a profile generation module, an application server, and a user interface, the server configured to:
access, by a profile generation module operating on a server, employment data from a member profile of a first member in a social network, the employment data stored in a profile database;
determine, by the profile generation module, an employer based on the accessed employment data;
retrieve, by the profile generation module, a plurality of other member profiles in the social network listing the determined employer as an employer;
calculate, by the profile generation module, a connection density among the member profile of the first member and the other member profiles;
validate, by the profile generation module, that one or more members, including the first member, is an employee of the determined employer based on the connection density;
verify, by the profile generation module, that the determined employer does not have an existing entity profile in the social network;
authenticate, by the profile generation module, the verified employer based on member data corresponding to the validated one or more members from the social network;
generate, by the profile generation module, a web page comprising an entity profile for the authenticated employer using the member data corresponding to the validated one or more members;
send the generated web page from the profile generation module to an application server to cause a presentation of the generated entity profile in a user interface on the social network;
use, by the profile generation module one or more machine-learning techniques to determine a member to request to manage the generated entity profile based on member title and based on member engagement value, wherein the member engagement value is based on member activity and behavior data; and
transmit a request, via the user interface, to the determined member to request to manage the generated entity profile, the request asking the determined member to act as an administrator of the generated entity profile.

10. The system of claim 9 , wherein the generated entity profile includes an entity name of the employer, an entity location, a website associated with the employer, and an industry associated with the employer.

11. The system of claim 9 , wherein the generated entity profile includes a list of member profiles belonging to employees of the employer.

12. The system of claim 9 , wherein the one or more processors are further configured to:
calculate a member engagement value based on member activity and behavior data corresponding to the member profile, the member activity and behavior data having a number of page views in the social network; and
authenticate the verified employer based on the generated engagement value.

13. The system of claim 9 , wherein the one or more processors are further configured to:
calculate a member ranking score based on social graph data corresponding to the member profile, the social graph data having a number of connections; and
authenticate the verified employer based on the generated engagement value.

14. The system of claim 9 , wherein the one or more processors are further configured to:
calculate a confidence level for the verified employer, the confidence level corresponding to a probability that the member is an employee of the employer; and
wherein the verified employer is not authenticated when the confidence level is below a predetermined threshold.

15. The system of claim 9 , wherein the one or more processors are further configured to:
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Assignees

• Microsoft Technology Licensing Llc

Inventors

• Pinkovezky Aviad
• Feng Huining
• Dimapilis Michael Brentley
• Deb Viman
• Huang Jingjing
• Santos Timothy Vergara

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• H04W4/21

  for social networking applications · CPC title

• G06Q10/1053 Primary

  Employment or hiring · CPC title

• H04L63/08

  for authentication of entities (cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32) · CPC title

• G06Q50/01

  Physics · mapped topic