Resident mobile contacts recommendation having a user requested target in their contact lists

• US 20160012506A1
• Filed: 07/11/2014
• Published: 01/14/2016
• Est. Priority Date: 07/11/2014
• Status: Abandoned Application

• Current Assignee: Apprekon Incorporated
• Original Assignee: Apprekon Incorporated
• Inventors: Ganti, Dinesh
• Application Number:
  US14/329,879
• Publication Number:
  US 20160012506A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0613 Third-party assisted
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

The embodiments herein provide a system and method for recommending a resident mobile contact having a target, requested by a user, as a contact in their contact lists. The method includes receiving a request from the user for introduction to the target. Further, the method includes identifying resident mobile contact(s) of the user having the target as a contact in their contact list, where the resident mobile contacts is identified based on one or more tags associated with each mobile contact available in the contact list of the resident mobile contact. Furthermore, the method includes recommending the identified resident mobile contacts having the target as a contact to the user, where the recommendation is provided in accordance to a dynamic weight associated with each resident mobile contact.

Claims

1. A method for recommending at least one resident mobile contact to a user using a server, the method comprising:

receiving at least one request from said user for introduction to at least one target;

identifying at least one resident mobile contact of said user having said at least one target in at least one contact list, wherein said at least one resident mobile contact is identified based on at least one tag associated with each mobile contact available in said at least one contact list of said resident mobile contact; and

recommending said at least one identified resident mobile contact having said at least one target to said user, wherein said recommendation is provided in accordance to at least one dynamic weight associated with each said resident mobile contact.

2. The method of claim 1, wherein said method further comprises:

computing a degree of involvement of said user with each said resident mobile contact, wherein said degree of involvement is computed using at least one involvement parameter associated with said user;

assigning said dynamic weight to each said resident mobile contact based on said degree of involvement of said user with each said resident mobile contact; and

storing said at least one dynamic weight associated with each said resident mobile contact locally on an mobile device of said user.

3. The method of claim 1, wherein said involvement parameter comprises at least one of:

number of messages sent, number of messages received, number of interactions performed, proximity, location, success ratio, and circle of each said resident mobile contact.

4. The method of claim 1, wherein said method further comprises:

identifying information associated with each said resident mobile contact;

automatically assigning said at least one tag to each said resident mobile contact based on said information; and

storing said at least one tag remotely on said server.

5. The method of claim 1, wherein said method further comprises:

receiving a new mobile contact on said at least one contact list associated with said user;

computing a degree of similarity between said new mobile contact with each said mobile contact in at least one contact list of each said resident mobile contact, wherein said degree of similarity is computed using at least one similarity parameter associated with each said mobile contact in at least one contact list of said each said resident mobile contact; and

suggesting said at least one tag associated with said at least one contact in at least one contact list of said at least one resident mobile contact based on said degree of similarity.

6. The method of claim 5, wherein said at least one similarity parameter comprises at least one of:

proximity, said dynamic weight associated with each said resident mobile contact, success ratio, type of said at least one tag, and said circle of each said contact.

7. The method of claim 1, wherein recommending said at least one identified resident mobile contact having said at least one target to said user comprising:

generating said at least one recommendation for said user, wherein said at least one recommendation comprises said at least one identified resident mobile contact having said at least one target;

sorting said at least one recommendation based on said at least one dynamic weight associated with said at least one identified resident mobile contact; and

displaying said at least one recommendation on said mobile device of said user.

8. The method of claim 7, wherein said method further comprises:

identifying at least one revenue opportunity associated with said at least one target prior to displaying said at least one recommendation to said user; and

inserting at least one offer related to said at least one target based on said at least one revenue opportunity prior to displaying said at least one recommendation to said user.

9. The method of claim 7, wherein said at least one recommendation comprises a location package including said at least one identified resident mobile contact having said at least one target.

10. The method of claim 1, wherein said method further comprising:

facilitating a real-time communication session between said user and said at least one identified resident mobile contact having said at least one target in their at least one contact list; and

receiving contact information associated with said at least one target from said at least one identified resident mobile contact, wherein said contact information is used to introduce said at least one target to said user during said real-time communication session.

11. The method of claim 10, wherein said real-time communication session comprises at least one online chat session.

12. The method of claim 10, wherein said method further comprises rewarding said at least one resident mobile contact in response to said introduction of said at least one target to said user.

13. The method of claim 1, wherein said method further comprising:

facilitating a non-real-time communication session between said user and said at least one identified resident mobile contact having said at least one target in their at least one contact list; and

receiving contact information associated with said at least one target from said at least one identified resident mobile contact, wherein said contact information is used to introduce said at least one target to said user during said non-real-time communication session.

14. The method of claim 13, wherein said non-real-time communication session comprises at least one of offline chat session.

15. The method of claim 13, wherein said method further comprises rewarding said at least one resident mobile contact in response to said introduction of said at least one target to said user.

16. A system for recommending at least one resident mobile contact to a user, the system comprising a server configured to:

receive at least one request from said user for introduction to at least one target;

identify at least one resident mobile contact of said user having said at least one target in at least one contact list, wherein said at least one resident mobile contact is identified based on at least one tag associated with each mobile contact available in said at least one contact list of said resident mobile contact; and

recommend said at least one identified resident mobile contact having said at least one target to said user, wherein said recommendation is provided in accordance to at least one dynamic weight associated with each said resident mobile contact.

17. The system of claim 16, wherein said server is further configured to:

compute a degree of involvement of said user with each said resident mobile contact, wherein said degree of involvement is computed using at least one involvement parameter associated with said user;

assign said dynamic weight to each said resident mobile contact based on said degree of involvement of said user with each said resident mobile contact; and

store said at least one dynamic weight associated with each said resident mobile contact locally on an mobile device of said user.

18. The system of claim 16, wherein said involvement parameter comprises at least one of:

number of messages sent, number of messages received, number of interactions performed, proximity, location, success ratio, and circle of each said mobile contact.

19. The system of claim 16, wherein said server is further configured to:

identify information associated with each said resident mobile contact;

automatically assign said at least one tag to each said resident mobile contact based on said information; and

store said at least one tag remotely on said server.

20. The system of claim 16, wherein said server is further configured to:

receive a new mobile contact on said at least one contact list associated with said user;

compute a degree of similarity between said new mobile contact with each said mobile contact in at least one contact list of each said resident mobile contact, wherein said degree of similarity is computed using at least one similarity parameter associated with each said mobile contact in at least one contact list of said each said resident mobile contact; and

suggest said at least one tag associated with said at least one contact in at least one contact list of said at least one resident mobile contact based on said degree of similarity.

21. The system of claim 20, wherein said at least one similarity parameter comprises at least one of:

proximity, said dynamic weight associated with each said resident mobile contact, success ratio, type of said at least one tag, and said circle of each said contact.

22. The system of claim 16, wherein recommend said at least one identified resident mobile contact having said at least one target to said user comprises:

generate said at least one recommendation for said user, wherein said at least one recommendation comprises said at least one identified resident mobile contact having said at least one target;

sort said at least one recommendation based on said at least one dynamic weight associated with said at least one identified resident mobile contact; and

display said at least one recommendation on said mobile device of said user.

23. The system of claim 21, wherein said server is further configured to:

identify at least one revenue opportunity associated with said at least one target prior to display said at least one recommendation to said user; and

insert at least one offer related to said at least one target based on said at least one revenue opportunity prior to display said at least one recommendation to said user.

24. The system of claim 22, wherein said at least one recommendation comprises a location package including said at least one identified resident mobile contact having said at least one target.

25. The system of claim 16, wherein said server is further configured to:

facilitate a real-time communication session between said user and said at least one identified resident mobile contact having said at least one target in their at least one contact list; and

receive contact information associated with said at least one target from said at least one identified resident mobile contact, wherein said contact information is used to introduce said at least one target to said user during said real-time communication session.

26. The system of claim 25, wherein said real-time communication session comprises at least one online chat session.

27. The system of claim 25, wherein said server is further configured to reward said at least one resident mobile contact in response to said introduction of said at least one target to said user.

28. The system of claim 16, wherein said server is further configured to:

facilitate a non-real-time communication session between said user and said at least one identified resident mobile contact having said at least one target in their at least one contact list; and

receive contact information associated with said at least one target from said at least one identified resident mobile contact, wherein said contact information is used to introduce said at least one target to said user during said non-real-time communication session.

29. The system of claim 28, wherein said non-real-time communication session comprises at least one of offline chat session.

30. The system of claim 28, wherein said server is further configured to reward said at least one resident mobile contact in response to said introduction of said at least one target to said user.

31. A computer program product comprising computer executable program code recorded on a computer readable non-transitory storage medium, said computer executable program code when executed causing the actions including:

receiving at least one request from said user for introduction to at least one target;

identifying at least one resident mobile contact of said user having said at least one target in at least one contact list, wherein said at least one resident mobile contact is identified based on at least one tag associated with each mobile contact available in said at least one contact list of said resident mobile contact; and

recommending said at least one identified resident mobile contact having said at least one target to said user, wherein said recommendation is provided in accordance to at least one dynamic weight associated with each said resident mobile contact.

32. The computer program product of claim 31, wherein said computer executable program code when executed causing further actions including:

computing a degree of involvement of said user with each said resident mobile contact, wherein said degree of involvement is computed using at least one involvement parameter associated with said user;

assigning said dynamic weight to each said resident mobile contact based on said degree of involvement of said user with each said resident mobile contact; and

storing said at least one dynamic weight associated with each said resident mobile contact locally on an mobile device of said user.

33. The computer program product of claim 31, wherein said involvement parameter comprises at least one of:

number of messages sent, number of messages received, number of interactions performed, proximity, location, success ratio, and circle of each said mobile contact.

34. The computer program product of claim 31, wherein said computer executable program code when executed causing further actions including:

identifying information associated with each said resident mobile contact;

automatically assigning said at least one tag to each said resident mobile contact based on said information; and

storing said at least one tag remotely on said server.

35. The computer program product of claim 31, wherein said computer executable program code when executed causing further actions including:

receiving a new mobile contact on said at least one contact list associated with said user;

computing a degree of similarity between said new mobile contact with each said mobile contact in at least one contact list of each said resident mobile contact, wherein said degree of similarity is computed using at least one similarity parameter associated with each said mobile contact in at least one contact list of said each said resident mobile contact; and

suggesting said at least one tag associated with said at least one contact in at least one contact list of said at least one resident mobile contact based on said degree of similarity.

36. The computer program product of claim 35, wherein said at least one similarity parameter comprises at least one of:

proximity, said dynamic weight associated with each said resident mobile contact, success ratio, type of said at least one tag, and said circle of each said contact.

37. The computer program product of claim 31, wherein recommending said at least one identified resident mobile contact having said at least one target to said user comprising:

generating said at least one recommendation for said user, wherein said at least one recommendation comprises said at least one identified resident mobile contact having said at least one target;

sorting said at least one recommendation based on said at least one dynamic weight associated with said at least one identified resident mobile contact; and

displaying said at least one recommendation on said mobile device of said user.

38. The computer program product of claim 37, wherein recommending said at least one identified resident mobile contact having said at least one target to said user comprising:

identifying at least one revenue opportunity associated with said at least one target prior to displaying said at least one recommendation to said user; and

inserting at least one offer related to said at least one target based on said at least one revenue opportunity prior to displaying said at least one recommendation to said user.

39. The computer program product of claim 37, wherein said at least one recommendation comprises a location package including said at least one identified resident mobile contact having said at least one target.

40. The computer program product of claim 31, wherein recommending said at least one identified resident mobile contact having said at least one target to said user comprising:

facilitating a real-time communication session between said user and said at least one identified resident mobile contact having said at least one target in their at least one contact list; and

receiving contact information associated with said at least one target from said at least one identified resident mobile contact, wherein said contact information is used to introduce said at least one target to said user during said real-time communication session.

41. The computer program product of claim 40, wherein said real-time communication session comprises at least one online chat session.

42. The computer program product of claim 40 wherein said computer executable program code when executed causing further actions including rewarding said at least one resident mobile contact in response to said introduction of said at least one target to said user.

43. The computer program product of claim 31, wherein said computer executable program code when executed causing further actions including:

facilitating a non-real-time communication session between said user and said at least one identified resident mobile contact having said at least one target in their at least one contact list; and

receiving contact information associated with said at least one target from said at least one identified resident mobile contact, wherein said contact information is used to introduce said at least one target to said user during said non-real-time communication session.

44. The computer program product of claim 43, wherein said non-real-time communication session comprises at least one of offline chat session.

45. The computer program product of claim 43, wherein said computer executable program code when executed causing further actions including rewarding said at least one resident mobile contact in response to said introduction of said at least one target to said user.