COMPUTERIZED SYSTEMS AND METHODS FOR OFFLINE SOCIAL RECOMMENDATIONS

• US 20170109446A1
• Filed: 09/09/2016
• Published: 04/20/2017
• Est. Priority Date: 09/09/2015
• Status: Abandoned Application

• Current Assignee: Steven Wu
• Original Assignee: Steven Wu
• Inventors: Wu, Steven, Rosche, Tyler, Wong, Man Yung, Smith, JR., Theodore Root
• Application Number:
  US15/261,152
• Publication Number:
  US 20170109446A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 7/02 Comparing digital values G06F7/06, G06F7/22, G06F7/38 take precedence
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Offline social recommendation systems, interactions, interfaces, and methods are disclosed for utilizing user interests and characteristics in the generation and selection of recommendations for offline social networking. An interpersonal network manager maintains data on user characteristics and interests, and updates this data based on direct feedback and inferences drawn from various kinds of user-associated information. The interpersonal network manager generates characteristics or other matching scores associated with a set of interpersonal interactions, such as offline networking activities, and selects interpersonal interactions to recommend to a user based on relationships between the matching scores associated with each interpersonal interaction and any characteristics and interests associated with the user.

Claims

1. A system for offline social recommendations comprising:

a first memory component for storing interest values associated with a plurality of users;

a second memory component for storing characteristic values associated with a plurality of offline networking activities;

a computer implemented interpersonal networking component operable to;

determine a first recommendation for a first user of the plurality of users, wherein the first recommendation corresponds to a first offline networking activity of the plurality of offline networking activities, and wherein the first recommendation is determined at least based on a comparison between a first interest value associated with the first user and a first characteristic value associated with the first offline networking activity;

request first feedback from the first user, where the first feedback is requested responsive to the first user attending the first offline networking activity;

request second feedback from a second user of the plurality of users, wherein the second feedback is requested responsive to the second user attending the first offline networking activity;

update the first interest value based at least on the first feedback and second feedback; and

determine a second recommendation for the first user, wherein the second recommendation corresponds to a second offline networking activity of the plurality of offline networking activities, and wherein the second recommendation is determined at least based on a comparison between the updated first interest value and a second characteristic value associated with the second offline networking activity.

2. The system of claim 1, wherein the first feedback is associated with the second user.

3. The system of claim 2, wherein the first characteristic value corresponds to a first characteristic, wherein the second user is associated with a third characteristic value corresponding to the first characteristic, and wherein the first interest value is updated based at least in part of the third characteristic value.

4. A computer-implemented method for providing offline social recommendations comprising:

determining, by at least one computing device, a first recommendation for a first offline social activity, wherein the first recommendation is determined at least in part on the basis of a comparison between a first activity matching value corresponding to the first offline social activity and a first user matching value corresponding to a first user;

updating, by at least one computing device, the first user matching value based at least in part on feedback received from a second user attending the first offline social activity; and

determining, by at least one computing device, a second recommendation for a second offline social activity, wherein the second recommendation is determined at least in part on the basis of a comparison between a second activity matching value corresponding to the second offline social activity and the updated first user matching value corresponding to the first user.

5. The computer-implemented method of claim 4, wherein the first activity matching value is based at least in part on a plurality of matching values, wherein each of the plurality of matching values corresponds to one of a plurality of users associated with the first offline social activity.

6. The computer-implemented method of claim 5, wherein the plurality of users associated with the first offline social activity have signaled interest in the first offline social activity.

7. The computer-implemented method of claim 5, wherein the plurality of users associated with the first offline social activity have confirmed their attendance at the first offline social activity.

8. The computer-implemented method of claim 4, wherein updating the first user matching value is further based at least in part on feedback received from a third user attending the first offline social activity.

9. The computer-implemented method of claim 8, wherein the third user is associated with a characteristic corresponding to trustworthiness, and wherein the feedback received from the third user is weighted more heavily than the feedback received from the second user at least in part based on the characteristic corresponding to trustworthiness.

10. A system for offline social recommendations comprising:

a first memory component for storing information associated with a plurality of users;

a second memory component for storing information associated with a plurality of offline networking activities;

a computer implemented interpersonal networking component operable to;

determine a first recommendation for a first user of the plurality of users, wherein the first recommendation is determined at least based on a comparison between a first matching value associated with the first user and one or more matching values associated with a first offline networking activity of the plurality of offline networking activities;

receive feedback from the first user;

update the first matching value based on the feedback from the first user;

determine a second recommendation for the first user, wherein the second recommendation is determined at least based on a comparison between the updated first matching value and one or more matching values associated with a second offline networking activity of the plurality of offline networking activities.

11. The system of claim 10, wherein the feedback is associated with a second user attending the first offline networking activity;

12. The system of claim 11, wherein the feedback associated with the second user corresponds to a metadata tag being added to the second user by the first user.

13. The system of claim 11, wherein the feedback associated with the second user corresponds to the first user ranking the second user above a third user attending the first offline networking activity.

14. The system of claim 11, wherein the second user is associated with a first characteristic.

15. The system of claim 14, wherein the first matching value is an interest corresponding to the first characteristic, and wherein the system is further operable to update the first matching value based in part on a strength of the first characteristic.

16. The system of claim 10, wherein the first offline networking activity corresponds to a group conversation at an offline event.

18. The system of claim 10, wherein the first matching value corresponds to a physical location.

19. The system of claim 18, wherein the comparison between the first matching value associated with the first user and one or more matching values associated with the first offline networking activity comprises determining a travel time between the physical location and a location of the first offline networking activity.

20. The system of claim 19, where determining a travel time between the physical location and a location of the first offline networking activity includes determining a travel time between the physical location and the location of the first offline networking activity at a start time of the first offline networking activity.

17. The system of claim 17, wherein the one or more matching values associated with the first offline activity are based on matching values associated with one or more participants of the group conversation.