CLASSIFIED RELATION NETWORKING OPTIMIZATION PLATFORM IN OPEN WIRELESS ARCHITECTURE (OWA) MOBILE CLOUD TERMINAL DEVICE

• US 20150264544A1
• Filed: 06/02/2015
• Published: 09/17/2015
• Est. Priority Date: 05/14/2012
• Status: Active Grant

• Current Assignee: Dexi Lu, Michael Lu, Wei Lu
• Original Assignee: Dexi Lu, Michael Lu, Wei Lu
• Inventors: LU, MICHAEL, LU, DEXI, LU, WEI
• Granted Patent: US 10,003,943 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 63/0876 based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
• CPC Class Codes: H04W 12/02 Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
• CPC Class Codes: H04W 12/71 Hardware identity
• CPC Class Codes: H04W 28/24 Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service]
• CPC Class Codes: H04W 4/12 Messaging; Mailboxes; Announcements
• CPC Class Codes: H04W 4/21 for social networking applications
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits
• CPC Class Codes: H04W 88/06 adapted for operation in multiple networks or having at least two operational modes, e.g. multi-mode terminals

Abstract

A fully user-centric mobile relation networking management of business social networking, personal social networking and general social networking for mobile terminal device with networking services adaptively and intelligently optimized by converged wireless connections based on open wireless architecture (OWA) mobile cloud infrastructure with QoW (Quality of Wireless connection) control through OWA Operating System (OS) to enable highly secured relation networking for mobile business and personal networking users by innovative social friendship scoring method.

Claims

1. A social networking friendship scoring method for mobile users in mobile cloud infrastructure, said method comprising:

a) defining friendship scores ranging from 0.5 to 1.5, with 1.0 as average score, and associating outgoing score and incoming score for each party,

b) classifying said social networking friendship into personal friendship, business friendship and general friendship, related to personal social networking, business social networking and general social networking,

c) displaying important good friends with score equal or greater than 1.2 in said personal social networking for “

at home”

mode, said business social networking for “

at work”

mode and said general social networking for general mode, and processing requests, calls, messages, questions and contents of said good friends,

d) responding to ordinary friends for requests, calls, messages and questions with outgoing score less than 1.0, by Virtual Social Assistant (VSA),

e) optimizing said social networking friendship of said good friends and said ordinary friends by frequently updating said outgoing score for said each party,

f) integrating various social networking platforms including Facebook, Linkedin and Google+ into compact You-Me platform of said “

at home”

mode, said “

at work”

mode and said general mode for said good friends, and

g) optimizing contents, services and applications of said You-Me platform in mobile devices, as mobile cloud clients, by Quality of Wireless connections (QoW) defined in mobile cloud infrastructure.

2. The method as recited in claim 1, wherein said outgoing score is a friendship score provided by one said each party to another corresponding party, and said incoming score is a friendship score provided by said another corresponding party to said each party.

3. The method as recited in claim 1, wherein said You-Me platform is based on direct friendship scoring between you and me two parties each other, and each party'"'"'s viewable score is his or her outgoing score to the other party, and can be amended or adjusted in order to update friendship.

4. The method as recited in claim 1, wherein said average score of 1.0 is defined as the average friendship among classmates in a four-years'"'"' undergraduate college life, which applies to said business social networking and said general social networking.

5. The method as recited in claim 1, wherein when both said outgoing score and said incoming score of said each party are 1.2 and above, good friendship is established between two corresponding said each party.

6. The method as recited in claim 1, wherein said friendship scores are based on friend'"'"'s referral, personal trust, credibility, social goodwill and personal impression.

7. The method as recited in claim 1, wherein said You-Me platform of said “

at home”

mode further comprises;

a) main windows containing most important personal friends in life including spouse, kids, mom and dad for said “

at home”

mode,

b) contents windows containing photo, video, voice, files and new posts for said “

at home”

mode,

c) message windows containing stored messages and new messages for said “

at home”

mode, and

d) advertisement window containing related products and services for said “

at home”

mode.

8. The method as recited in claim 1, wherein said You-Me platform of said “

at work”

mode further comprises;

a) main windows containing most important business friends including boss, team members or colleagues, and customers for said “

at work”

mode,

b) contents windows containing photo, video, voice, files and new posts for said “

at work”

mode,

c) message windows containing stored messages and new messages for said “

at work”

mode, and

d) advertisement window containing related products and services for said “

at work”

mode.

9. The method as recited in claim 1, wherein said Virtual Social Assistant performs the following tasks for said ordinary friends:

a) automatically responding and processing based on computer artificial intelligence (AI) technology,

b) automatically answering questions to said ordinary friends,

c) automatically processing requests from said ordinary friends,

d) automatically taking messages from said ordinary friends and analyzing said messages in details, and

e) automatically sorting information for different said ordinary friends on monthly basis, quarterly basis or yearly basis, defined by mobile user, so as to greatly save processing and transmission resources in said mobile cloud clients and also greatly save said mobile users'"'"' time spent in social networking.

10. The method as recited in claim 1, wherein said compact You-Me platform can be an integrated social networking platform of Facebook, Linkedin, Google+ and others, or a stand-alone social networking platform with said friendship scoring method.

11. The method as recited in claim 1, wherein said friendship scoring method also includes determining initial outgoing score for referred friendship between two referred parties with lowest outgoing score in the entire scoring paths of established friendships, and adjusting or amending said initial outgoing score for said referred friendship by said referred parties through continuous friendship relations.

12. The method as recited in claim 1, wherein said friendship scoring method and said Virtual Social Assistant for said mobile users with said mobile devices are implemented, maintained and managed in Virtual Mobile Server (VMS), as mobile cloud server, and said Virtual Social Assistant is synchronized with said VMS.

13. The method as recited in claim 12, wherein one said VMS can manage multiple said mobile users, and multiple said mobile users with multiple said mobile devices can share one said VMS.

14. The method as recited in claim 1, wherein both said outgoing score and said incoming score (both scores) for said each party determine his or her normal friendship circle comprising:

a) 1˜

2 best friends with said both scores to be 1.5,

b) 1˜

5 close friends with said both scores to be 1.4,

c) 1˜

20 good friends with said both scores to be 1.3, and

d) 1˜

50 tentative good friends with said both scores between 1.0 and 1.2.

15. The method as recited in claim 14, wherein said both scores is based on the lowest score between said outgoing score and said incoming score if they are different.

16. The method as recited in claim 14, wherein said tentative good friends with said both scores between 1.0 and 1.2 are unstable good friends subject to further observation, watch or inspection, and can be upgraded or downgraded at any time by corresponding said each party.

17. The method as recited in claim 1, wherein said ordinary friends can upgrade to said good friends when both said outgoing score and said incoming score of corresponding said each party reach 1.2 and above, and said good friends can downgrade to said ordinary friends when any of said outgoing score or said incoming score of corresponding said each party falls below 1.0.

18. A social networking friendship referring method for mobile users in mobile cloud infrastructure, said method comprising:

a) defining friendship scores ranging from 0.5 to 1.5, with 1.0 as average score, and associating outgoing score and incoming score for each party,

b) classifying said social networking friendship into personal friendship, business friendship and general friendship, related to personal social networking, business social networking and general social networking,

c) determining initial outgoing score for referred friendship between two referred parties with lowest outgoing score in the entire scoring paths of established friendships,

d) adjusting or updating said initial outgoing score for said referred friendship by said referred parties through continuous friendship relations, and

e) establishing good friendship as good friends between two corresponding said each party when both said outgoing score and said incoming score of corresponding said each party are 1.2 and above, or establishing ordinary friendship as ordinary friends between two corresponding said each party when any of said outgoing score or said incoming score of corresponding said each party falls below 1.0.

19. The method as recited in claim 18, wherein said ordinary friends can upgrade to said good friends when both said outgoing score and said incoming score of corresponding said each party reach 1.2 and above, and said good friends can downgrade to said ordinary friends when any of said outgoing score or said incoming score of corresponding said each party falls below 1.0.

20. The method as recited in claim 18, wherein the higher said initial outgoing score for said referred friendship is, the sooner said two referred parties will become said good friends, which also means that, if better friends are referred, they will become good friends each other much sooner.