Systems and Methods for Dynamically Identifying and Presenting Matching User Profiles to a User

• US 20170316515A1
• Filed: 04/28/2016
• Published: 11/02/2017
• Est. Priority Date: 04/28/2016
• Status: Active Grant

• Current Assignee: Ashvin Praveen Sologar, Sanjay Varma
• Original Assignee: Ashvin Praveen Sologar, Sanjay Varma
• Inventors: Varma, Sanjay, Sologar, Ashvin Praveen
• Granted Patent: US 10,580,091 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal

Abstract

Electronic computer-implemented systems and methods for dynamically identifying and presenting matching user profiles to a user are disclosed. A server system receives, from an electronic device of a user, user profile information that includes at least one user-selected goal, and stores the user profile on a database. Location information as to the geographic location of the user is also received by the server system. The user-selected goal is analyzed to extract entity and keyword samples therefrom, and matching user profiles of other users stored on the database are identified as those that have goals with similar entity and keyword samples therein. The matched user profiles are ranked based on the physical proximity between the user and the other users, and the ranked list is transmitted to the electronic device to be displayed to the user.

Claims

1. A computer-implemented method for dynamically identifying and presenting matching user profiles to a user comprising, at a server system:

receiving, from an electronic device of the user, user profile information that includes at least one user-selected goal;

causing the user profile to be stored on a database;

receiving, from the electronic device of the user, location information as to the geographic location of the user;

analyzing the at least one user-selected goal to extract entity and keyword samples therefrom,

identifying matching user profiles of other users stored on the database that have user goals with similar entity and keyword samples therein;

ranking the user profiles of the other users based on the physical proximity between the user and the other users, and

transmitting the ranked list of user profiles to the electronic device to be displayed to the user.

2. The method as claimed in claim 1, wherein the user goal is analyzed to extract taxonomy samples therefrom, and for matching user profiles to be identified that have user goals with similar taxonomy samples therein.

3. The method as claimed in claim 1, wherein the user-selected goal is a string of words provided by the user and is categorized as either a service offered by the user, or as a person, service or thing sought by the user.

4. The method as claimed in claim 3, wherein matching user profiles of other users are identified that have differently categorized user goals with similar entity and keyword samples therein.

5. The method as claimed in claim 1, wherein the user profile of the user includes the user'"'"'s contacts, and the method includes the step of:

ranking the user profiles of the other users based on social proximity, being the number of common contacts shared between the user and the other users.

6. The method as claimed in claim 1, wherein the user profile of the user includes the user'"'"'s networks, and the method includes the step of:

ranking the user profiles of the other users based on the number of common networks shared between the user and the other users.

7. The method as claimed in claim 1, wherein the user profile includes the user'"'"'s interest, and the method includes the step of:

ranking the user profiles of the other users based on the number of common interests shared between the user and the other users.

8. The method as claimed in claim 1, wherein a user trust vector is stored on the database in association with the user profile, the user trust vector having factors that indicate the user'"'"'s preference for matches by goal, proximity, social proximity and personality proximity, and for the matching user profiles to be ranked by at least partially using the user trust vector.

9. The method as claimed in claim 1, wherein the user trust vector is automatically adjusted by analyzing and classifying the user based on prior behavioral data that includes the times and manner in which a user interacts with other user profiles.

10. The method as claimed in claim 1, including the steps of:

transmitting for display in association with a presented user profile, the details of a contact shared by the user and the user of the presented user profile;

receiving a request from the user for the shared contact to introduce the user and the user of the presented user profile;

transmitting a request to the shared contact for an introduction;

receiving an introduction from the shared contact; and

transmitting the introduction to the user and the user of the presented user profile.

11. A computer-implemented method for dynamically identifying and presenting matching user profiles to a user comprising, at an electronic device:

receiving user profile information that includes at least one user-selected goal;

transmitting the user profile information to a server system to be stored on a database;

transmitting location information as to the geographic location of the user to the server system;

receiving a ranked list of user profiles of other users from the server system, the server system identifying matching user profiles of other users stored on the database by analyzing the at least one user-selected goal to extract entity and keyword samples therefrom, identifying matching user profiles of other users stored on the database that have user goals with similar entity and keyword samples therein, and ranking the user profiles of the other users based on the physical proximity between the user and the other users; and

presenting the ranked user profiles to the user on a display of the electronic device.

12. The method as claimed in claim 11, wherein the user-selected goal is a string of words provided by the user and is categorized as either a service offered by the user, or as a person, service or thing sought by the user.

13. The method as claimed in claim 11, wherein matching user profiles of other users are identified that have differently categorized user goals with similar entity and keyword samples therein.

14. The method as claimed in claim 11, including the steps of:

displaying in association with a presented user profile, the details of a contact shared by the user and the user of the presented user profile;

receiving a request from the user for the shared contact to introduce the user and the user of the presented user profile;

transmitting the request to the server system, the server system transmitting the request to the shared contact; and

responsive to the shared contact providing an introduction, receiving the introduction from the server system and displaying the introduction to the user.

15. A server system for dynamically identifying and presenting matching user profiles to a user, the server system comprising:

a profile receiving module for receiving, from an electronic device of a user, user profile information that includes at least one user-selected goal;

a database for storing the user profile;

a location receiving module for receiving, from the electronic device of the user, location information as to the geographic location of the user;

an analysis module for analyzing the at least one user-selected goal to extract entity and keyword samples therefrom;

an identifying module for identifying matching user profiles of other users based on the physical proximity between the user and the other users, and

a transmitting module for transmitting the ranked list of user profiles to the electronic device to be displayed to the user.