Providing information to a communications device

• US 6,883,019 B1
• Filed: 05/08/2000
• Issued: 04/19/2005
• Est. Priority Date: 05/08/2000
• Status: Expired due to Term

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Thakkar, Shreekant S., Sengupta, Uttam K.
• Primary Examiner(s): Cuchlinski, Jr., William A.
• Assistant Examiner(s): Nguyen, Thanh T.
• Application Number:
  US09/566,620
• Time in Patent Office: 1,807 Days
• Field of Search: 709/206, 709/224, 709/201, 702/3, 707/3, 713/400, 713/200, 345/716, 700/157, 701/201
• US Class Current: 709/206
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

Providing information to a communications device includes determining the relevance of an event to a user based on service choices of the user and, if the event is relevant to the user, determining the relevance of information sources to the event, the information sources including at least data indicating a real-time status of the user, and determining whether to send information about the event to the user based on the information sources.

Claims

1. A method, comprising:

determining a context of a user including both real-time information about the user and future plans of the user, said context being determined from a stored profile indicative of user information, and also indicative of future plans of the user, and also based upon context information sources which represent real-time context of the user;

obtaining information about multiple events based on various information sources;

interpreting said context about the user using at least one parameter related to inferred information about the context of the user, and determining a relevance of each of the multiple events to the user based on both the real-time information about the user and future plans of the user; and

sending some of said information about events to the user, and not sending other information about the events to the user, based on said interpreting.

2. The method as in claim 1, wherein said real-time information includes a user'"'"'s current location.

3. A method as in claim 1, wherein said real-time information includes a user'"'"'s current activity as determined from a calendar of events correlated with a time of day.

4. A method as in claim 1, wherein said inferred information relates to inferred accuracy of said context.

5. A method as in claim 1, wherein said inferred information relates to importance level of a specified event.

6. A method as in claim 1, wherein said multiple events include kinds of conditions for each of a plurality of different areas, and said sending comprises sending information based on the user'"'"'s area.

7. A method as in claim 1, wherein said context of the user further includes a user profile.

8. A method as in claim 7, wherein the user profile includes information from which a user'"'"'s current activity can be determined.

9. A method as in claim 8, wherein said current information activity includes at least a route taken from home to work.

10. A method as in claim 1, wherein said sending comprises using rules to evaluate context which includes at least a physical location, a mobility status, a current activity and future activities.

11. A method as in claim 4, wherein said inferred information includes a time since which the information was obtained.

12. A method as in claim 7, wherein said user profile includes information indicative of different kinds of events which interest the user.

13. An article comprising a computer readable medium which stores computer executable instructions, which are executed on a computer to cause the computer to:

determine a context of a user including both real-time information about the user and future plans of the user, said context being determined from a stored profile indicative of user information, and also indicative of user future plans, and also based upon context information sources which represent real-time context of the user;

obtaining information about multiple events based on various information sources;

interpreting said context about the user using at least one parameter related to inferred information about the context of the user, and determining a relevance of each of the multiple events to the user, based on both the real-time information about the user and based on said context information; and

sending some of said information about events to the user, and not sending other information about the events to the user, based on said said interpreting.

14. The article as in claim 13, wherein said real-time information includes a user'"'"'s current location.

15. An article as in claim 13, wherein said real-time information includes a user'"'"'s current activity as determined from a calendar of events correlated with a time of day.

16. An article as in claim 13, wherein said inferred information relates to inferred accuracy of said context.

17. An article as in claim 13, wherein said inferred information relates to importance level of a specified event.

18. An article as in claim 13, wherein said multiple events include kinds of conditions for each of a plurality of different areas, and said sending comprises sending information based on the user'"'"'s area.

19. An article as in claim 13, wherein said context of the user further includes a user profile.

20. An article as in claim 19, wherein the user profile includes information from which a user'"'"'s current activity can be determined.

21. An article as in claim 20, wherein said current information activity includes at least a route taken from home to work.

22. An article as in claim 13, wherein said sending comprises using rules to evaluate context which includes at least a physical location, a mobility statue, a current activity and future activities.

23. An article as in claim 16, wherein said inferred information includes a time since which the information was obtained.

24. An article as in claim 19, wherein said user profile includes information indicative of different kinds of event which interest the user.

25. A system, comprising:

a server, having a network connection which is adapted for connection to a network, and storing information about both real-time information about the user and information about future plans of the user, and also storing a profile indicative of the user, and running a routine which obtains information about multiple events from said network, said server also operating to interpret said context about the user using at least one parameter related to inferred information about the the context of the user, and determining a relevance of each of the multiple events in the user based all of the real-time information about the user, the future plans of the user, and the inferred information about the user and using the relevance to determine to send some of said information about events to the user, and not send other information about the events to the user.

26. The system as in claim 25, wherein said reel-time information includes a user'"'"'s current location.

27. A system as in claim 25, wherein said real-time information includes a user'"'"'s current activity as determined from a calendar of events correlated with a time of day.

28. A system as in claim 25, wherein said inferred information relates to inferred accuracy of said context.

29. A system as in claim 25, wherein said inferred information relates to importance level of a specified event.

30. A system as in claim 25, wherein said multiple events include kinds of conditions for each of a plurality of different areas, and said sending comprises sending information based on the user'"'"'s area.

31. A system as in claim 25, wherein said context of the user further includes a user profile.

32. A system as in claim 31, wherein the user profile includes information from which a user'"'"'s current activity can be determined.

33. A system as in claim 32, wherein said current information activity includes at least a route taken from home to work.

34. A system as in claim 25, wherein said sending comprises using rules to evaluate context which includes at least a physical location, a mobility status, a current activity and future activities.

35. A system as in claim 28, wherein said inferred information includes a time since which the information was obtained.

36. A system as in claim 31, wherein said user profile includes information indicative of different kinds of events which interest the user.