SHARING PERSONALIZED ENTITIES AMONG PERSONAL DIGITAL ASSISTANT USERS

• US 20170257447A1
• Filed: 03/07/2016
• Published: 09/07/2017
• Est. Priority Date: 03/07/2016
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Gupta, Rahul, Dubedy, Amar Kumar, Singh, Gurpreet
• Granted Patent: US 10,554,772 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/212 using filtering or selective blocking
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/55 Push-based network services

Abstract

Architecture that enables a user to designate acceptance to receiving social cards from other user in a social network using a personal digital assistant. A mapping component maintains the mappings of all users who have accepted to participate in card sharing and the acceptance level. A whitelist of users can be created that lists the users to whom a social card can be sent from an endpoint. The user can create local groups dynamically at runtime on the local endpoint, where the local groups enable the sharing of the personalized content with multiple users concurrently. The shared card is selected by the sending user and becomes available to the PDA on the proactive canvas of the recipient'"'"'s PDA along with other cards. Based on the user engagement history, these cards can be ranked among other cards social or non-social PDA cards. Conflation, push notifications, and filtering are also provided.

Claims

1. A system, comprising:

a remote subscription component configured to enable subscription of endpoints to participate in acceptance of instances of personalized relevant entities, the acceptances to receive the instances of the personalized relevant entities performed via personal digital assistants of the corresponding endpoints;

a mapping component configured to map the acceptances between the endpoints that subscribe and securely store the mapped acceptances, the mapping component configured to enable access by the subscription component to check on a status of an endpoint; and

at least one hardware processor configured to execute computer-executable instructions in a memory, the instructions executed to enable the remote subscription component and the mapping component.

2. The system of claim 1, wherein the subscription component is configured to enable communication of a notification to an endpoint that sharing is accepted and a personalized relevant entity is waiting to be shared.

3. The system of claim 1, wherein the subscription component is configured to enable conflation of duplicative instances of the personalized relevant entities.

4. The system of claim 1, wherein the subscription component is configured to enable filtering of the personalized relevant entities based on current user interests.

5. The system of claim 1, wherein the subscription component is configured to synchronize user-created local groups among endpoints based on a one-to-many endpoint mapping relationship.

6. The system of claim 1, wherein the mapping component is configured to generate a whitelist for a sharing endpoint, the whitelist identifies endpoints suitable for receiving the personalized relevant entities from the sharing endpoint.

7. The system of claim 1, wherein the subscription component is configured to enable ranked groups of acceptable endpoints from which to receive the personalized relevant entities, the ranked groups have different designations of sharing.

8. The system of claim 1, wherein the personalized relevant entities are represented visually as cards viewable in a card canvas of the personal digital assistant, the cards ranked according to card-engagement history of the user.

9. A method, comprising acts of:

discovering entities relevant to a first user;

generating a personalized relevant entity of the first user from the discovered relevant entities; and

sharing the personalized relevant entity with a second user of a social network via a personal digital assistant of the first user and personal digital assistant of the second user based on an acceptance by the second user to receive the personalized relevant entity of the first user.

10. The method of claim 9, further comprising enabling subscription by the second user to receive the personalized relevant entity from the first user.

11. The method of claim 9, further comprising creating an acceptance mapping between the first user and the second user.

12. The method of claim 9, further comprising storing acceptance mappings, which include the acceptance mapping, in a secure storage, the acceptance mappings are queriable in the secure storage.

13. The method of claim 9, further comprising filtering the shared personalized relevant entity according to an interest or lack of interest.

14. The method of claim 9, further comprising pushing a notification of the shared personalized relevant entity.

15. A method, comprising acts of:

discovering entities relevant to a first user;

generating a personalized entity of the first user from the discovered relevant entities;

creating an acceptance mapping between the first user and a second user;

sending a notification of the shared personalized entity to a personal digital assistant of the second user; and

sharing the personalized entity with the second user of a social network via the personal digital assistant based on an acceptance by the second user to receive the personalized entity of the first user.

16. The method of claim 15, further comprising conflating multiple instances of the personalized entity received from multiple users to mitigate canvas flooding of multiples instances of the personalized entity at an endpoint of the second user.

17. The method of claim 15, further comprising enabling status checking of the second user on the social network.

18. The method of claim 15, further comprising creating at a local endpoint and at runtime, a group of users to whom the personalized entity can be shared concurrently.

19. The method of claim 15, further comprising synchronizing user-created local groups among endpoints based on endpoint acceptance mapping relationships.

20. The method of claim 15, further comprising generate a whitelist for an endpoint, the whitelist identifies endpoints suitable for receiving the personalized entities.