Granted Patent B2

US 12,513,103 · App. 19/265,722 · Granted Dec 30, 2025

Inventors: Jonathan Wolfe (N.E. Albuquerque, NM); Mark Weinstein (Mountain View, CA)

Assignee: SGROUPLES, INC.

H04L51/52G06Q30/02G06Q30/0257G06Q50/01H04L69/329G06Q20/04H04L51/216H04L67/10

Abstract

Claims (62)

1 . In a platform server system, a computer implemented method comprising:

providing a user privacy protection system to a user in an interactive platform of an interactive service, wherein the user privacy protection system includes one or more user privacy settings for protecting identity information on the interactive platform from one or more third-party content providers;

responsive to the user accessing the interactive platform of the interactive service, determining one or more third-party content preferences corresponding to the user;

receiving a plurality of third-party content from one or more third-party content providers, wherein the plurality of third-party content is available for a presentation by the interactive platform to the user;

accessing an intelligent filtering system for filtering the plurality of third-party content;

intelligently filtering the plurality of third-party content using the intelligent filtering system in accordance with the one or more third-party content preferences to determine a first third-party content;

presenting the first third-party content to the user on the interactive platform based on the intelligently filtering using the intelligent filtering system;

detecting a user input based on an interaction with the first third-party content presented to the user on the interactive platform; and

transmitting the user input to at least one of the one or more third-party content providers using the user privacy protection system, wherein the user is anonymized, in whole or in-part, by the user privacy protection system when the user input is transmitted to the at least one of the one or more third-party content providers based on the one or more user privacy settings.

2 . The computer-implemented method of claim 1 , wherein the user privacy protection system further includes one or more proxy options or other anonymization tools.

3 . The computer-implemented method of claim 1 , further comprising:

receiving, by the interactive service, a plurality of data from one or more third-parties corresponding to the user of the interactive service.

4 . The computer-implemented method of claim 3 , further comprising:

analyzing the plurality of data provided by the one or more third-parties; and

incorporating the analyzed plurality of data into the intelligent filtering system to determine the first third-party content.

5 . The computer-implemented method of claim 1 , wherein the intelligent filtering system predictively filters the plurality of third-party content using user information for the user.

6 . The computer-implemented method of claim 1 , wherein the intelligent filtering system utilizes an algorithm that biases a frequency of displaying different ones of the plurality of third-party content based on the one or more third-party content preferences.

7 . The computer-implemented method of claim 6 , wherein the algorithm further biases the frequency dynamically based on feedback from the user.

8 . The computer-implemented method of claim 1 , further comprising:

further intelligently filtering the plurality of third-party content using the intelligent filtering system based at least on the user input to determine a second third-party content; and

presenting the second third-party content to the user on the interactive platform based on the further intelligently filtering using the intelligent filtering system.

9 . The computer-implemented method of claim 1 , further comprising:

providing the user with a first graphical user interface (GUI) of the user privacy protection system for selecting the one or more user privacy settings;

determining a selection of the one or more user privacy settings via the first GUI; and

storing the one or more user privacy settings in a user data store associated with the interactive platform based on the selection.

10 . The computer-implemented method of claim 9 , wherein the presenting the first third-party content comprises:

providing the user with a second GUI having the third-party content.

11 . In a platform server system, a computer implemented method comprising:

providing user privacy protection to a user in an interactive platform of an interactive service, wherein the user privacy protection includes one or more user privacy settings of the user for the interactive service;

responsive to the user accessing the interactive platform of the interactive service, determining one or more third-party content preferences corresponding to the user;

receiving a plurality of third-party content from one or more third-party content providers, wherein the plurality of third-party content is available for a presentation by the interactive platform to the user;

filtering the plurality of third-party content using an intelligent filter in accordance with the one or more third-party content preferences to determine a first third-party content;

presenting the first third-party content to the user on the interactive platform;

detecting a user input based on an interaction with the first third-party content presented to the user on the interactive platform; and

transmitting the user input to at least one of the one or more third-party content providers in accordance with the user privacy protection, wherein the transmitted user input is anonymized from identifying the user based on the one or more user privacy settings.

12 . The computer-implemented method of claim 11 , wherein the user privacy protection is provided by the interactive platform using a user privacy protection system, wherein the one or more user privacy settings are provided in the interactive platform for protecting user information from the one or more third-party content providers, and wherein, prior to the transmitting the user input to the at least one of the one or more third-party content providers, the computer-implemented method further comprises:

anonymizing, in whole or in-part, the user input in accordance with the one or more user privacy settings using the user privacy protection system.

13 . The computer-implemented method of claim 12 , wherein the filtering the plurality of third-party content is provided by the interactive platform using an intelligent filtering system that filters the plurality of third-party content in accordance with the one or more third-party content preferences to predictively determine the first third-party content for the user.

14 . The computer-implemented method of claim 11 , further comprising:

providing one or more graphical user interfaces (GUIs) for configuring the one or more user privacy settings.

15 . The computer-implemented method of claim 14 , wherein the one or more GUIs comprise one or more GUI mechanisms for configuring the one or more user privacy settings, and wherein the computer-implemented method comprises:

determining a selection of the one or more user privacy settings via one or more GUIs; and

storing the one or more user privacy settings in a user data store associated with the interactive platform based on the selection.

16 . The computer-implemented method of claim 11 , wherein the presenting the first third-party content to the user comprises:

providing the user with a GUI of the interactive platform that includes the first third-party content.

17 . In a platform server system having access to a user data store, a computer-implemented method comprising:

providing a user with a first graphical user interface (GUI) having one or more GUI mechanisms for selecting a user privacy setting by the user in an interactive service associated with the user data store, wherein the first GUI is presented via an interactive platform of the interactive service;

determining a selection of the user privacy setting via the one or more GUI mechanisms in the first GUI;

storing the user privacy setting in the user data store in association with the user, wherein one or more default user privacy settings are stored as the user privacy setting if no privacy setting has been selected by the user;

receiving a plurality of third-party content from one or more third-party content providers, wherein the plurality of third-party content is available for a presentation by the interactive platform to the user in a second GUI;

accessing an intelligent filtering system for filtering the plurality of third-party content;

intelligently filtering the plurality of third-party content using the intelligent filtering system in accordance with one or more third-party content preferences corresponding to the user to determine a first third-party content;

providing the user with a second GUI having the first third-party content, wherein the second GUI is provided via the interactive platform of the interactive service;

detecting a user input based on an interaction with the first third-party content presented to the user in the second GUI; and

transmitting the user input to at least one of the one or more third-party content providers based on the user privacy setting, wherein the user is anonymized, in whole or in-part, when the user input is transmitted to the at least one of the one or more third-party content providers based on the user privacy setting from the user data store.

18 . The computer-implemented method of claim 17 , wherein, prior to the transmitting the user input, the computer-implemented method further comprises:

anonymizing the user input to preclude the one or more third-party content providers from receiving identity information of the user from the user data store.

19 . The computer-implemented method of claim 17 , further comprising:

receiving, by the interactive service, a plurality of data from one or more third-parties corresponding to the user of the interactive service;

analyzing the plurality of data provided by the one or more third-parties; and

incorporating the analyzed plurality of data into the intelligent filtering system to determine the first third-party content.

20 . The computer-implemented method of claim 17 , wherein the intelligent filtering system predictively filters the plurality of third-party content using user information for the user and an algorithm that biases a frequency of displaying different ones of the plurality of third-party content.

Assignments (1)

Continuity (15)

References Cited (173)

Cited By (1)

US 12,627,628