Intelligent data retrieval system

• US 8,131,718 B2
• Filed: 12/13/2005
• Issued: 03/06/2012
• Est. Priority Date: 12/13/2005
• Status: Active Grant

• Current Assignee: Chemtron Research LLC (Intellectual Ventures LLC)
• Original Assignee: MUSE Green Investments LLC (Intellectual Ventures LLC)
• Inventors: Tran, Bao Q.
• Primary Examiner(s): Jalil, Naveen Abel
• Assistant Examiner(s): BUCKINGHAM, KELLYE DEE
• Application Number:
  US11/301,561
• Publication Number:
  US 20070136264A1
• Time in Patent Office: 2,275 Days
• Field of Search: None
• US Class Current: 707/732
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

An electronic assistant for managing and locating data of interest for a user that, autonomously and without explicit user request, schedules and executes multiple information retrieval tasks in accordance with the user'"'"'s priorities, deadlines and preferences, said handheld device including a computer-implemented assistant coupled to said information locator, wherein the assistant automatically recommends an event or plans a travel trip based on said user styles, techniques, preferences, or interests, and location and time of the handheld.

Claims

1. An electronic assistant system for managing and scheduling user calendar events, the electronic assistant system comprising:

a computer device comprising;

an event scheduler configured to;

schedule incoming user calendar event requests using an autonomous agent;

wherein the autonomous agent, without explicit user request, gathers information of interest to the user;

display to the user an incoming event request and a summary of related events previously scheduled;

determine whether the incoming event request conflicts with a previously scheduled user calendar event;

retrieve a history of events similar to the previously scheduled user calendar event to derive an expected event duration of the previously scheduled user calendar event;

replace time allocated for the previously scheduled user calendar event with the expected event duration;

using a current location of a user'"'"'s handheld device, determine a travel time from a location of the previously scheduled user calendar event to a location of the incoming event request, to be an estimated transit time;

add the estimated transit time from the previously scheduled user calendar event to the incoming event request;

subtract the estimated transit time from a start time of a next scheduled event;

check if the subtracted time overlaps into the time requested for the incoming event request; and

if so, indicate an error; and

if not, assist the user in scheduling the incoming event request based on the location and the estimated transit time.

2. The electronic assistant of claim 1, comprising a host assistant running on a computer or a server and coupled to a processor and an information locator, wherein the host assistant is configured to dynamically adapt to user styles, techniques, preferences or interests, update user styles, techniques, preferences or interests in a knowledge warehouse, and instruct the information locator to locate data of interest in one or more information sources for the user based on the user styles, techniques, preferences or interests.

3. The electronic assistant of claim 2, wherein each of the one or more information sources has a query interface subject to one or more changes, wherein the information locator is configured to adapt to changes in the query interface in formulating a query and track an evolution of the user'"'"'s interests by maintaining a dynamic profile that takes the user'"'"'s behavior into account, wherein a specificity of the dynamic profile increases with the user'"'"'s awareness about available information, and wherein using the dynamic profile, the assistant is configured to launch the autonomous agent to navigate through the network hunting for information of interest for the user.

4. The electronic assistant of claim 3, wherein the query is associated with a cost limitation, and wherein the information locator executes a query formulation and submission strategy to minimize cost.

5. The electronic assistant of claim 3, wherein the query has a priority level, wherein the event scheduler is further configured to determine a deadline required for the query and increase the priority level of the query as the deadline approaches, and wherein the event scheduler is configured to accept or decline an appointment based on a timing analysis and a user preference.

6. The electronic assistant of claim 1, further comprising:

one or more remote information sources; and

a communications system coupling an information locator with the remote information sources, wherein the remote information sources are located on a wide area network, the Internet or the World Wide Web.

7. The electronic assistant of claim 1, further comprising a calendar engine coupled to an information locator to automatically collect information about a calendar activity for the user.

8. The electronic assistant of claim 5, wherein the event scheduler is further configured to dynamically generate a schedule by incrementally building plans at multiple levels of abstraction to reach a goal.

9. The electronic assistant of claim 6, wherein the communications system comprises:

a data transformer coupling the information locator to the remote information sources, the data transformer rearranging data prior to transmission to minimize communications cost.

10. A computer system for supporting a user having particular styles, techniques, preferences or interests, the computer system comprising:

a host computer including;

a host knowledge warehouse coupled to a processor, wherein the host knowledge warehouse is configured to store user styles, techniques, preferences or interests; and

an information locator coupled to the host knowledge warehouse, wherein the information locator is configured to generate a query conforming to user characteristics for retrieving data of interest and broadcasting the query to one or more information sources through semantic agents to navigate through a network hunting for information of interest for the user, wherein the information locator is further configured to receive results of the broadcasted query, communicate the results to the user, and update the host knowledge warehouse with responses from the user to the results; and

a portable computer adapted to communicate with the host computer, the portable computer including;

a processor; and

an electronic assistant coupled to the processor and an event scheduler, wherein the event scheduler is configured to;

schedule incoming user calendar event requests using an autonomous agent;

wherein the autonomous agent, without explicit user request, gathers information of interest to the user;

display to the user an incoming event request and a summary of related events previously scheduled;

determine whether the incoming event request conflicts with a previously scheduled user calendar event;

retrieve a history of events similar to the previously scheduled user calendar event to derive an expected event duration of the previously scheduled user calendar event;

replace time allocated for the previously scheduled user calendar event with the expected event duration;

using a current location of a user'"'"'s handheld device, determine a travel time from a location of the previously scheduled user calendar event to a location of the incoming event request, to be an estimated transit time;

add the estimated transit time from previously scheduled event to the incoming event request;

subtract the estimated transit time from a start time of a next scheduled event;

check if the subtracted time overlaps into the time requested for the incoming event request; and

if so, indicate an error; and

if not, assist the user in scheduling the incoming event request based on the location and the estimated transit time.

11. The computer system of claim 10, wherein each of the one or more information sources has a query interface subject to one or more changes, and wherein the information locator is configured to adapt to changes in the query interface in formulating a query.

12. The computer system of claim 10, wherein the query is associated with a cost limitation, and wherein the information locator executes a query formulation and submission strategy to minimize cost.

13. The computer system of claim 10, wherein the query has a priority level, wherein the event scheduler is coupled to the information locator, and wherein the event scheduler is further configured to determine a deadline required for the query and increase the priority level of the query as the deadline approaches.

14. The computer system of claim 10, further comprising:

one or more remote information sources located on a wide area network or on the Internet; and

a communications system coupling the information locator with the remote information sources.

15. A computer system for supporting a user having particular styles, techniques, preferences or interests, the computer system comprising:

a host computer, including;

a host knowledge warehouse coupled to a processor, wherein the host knowledge warehouse is configured to store user styles, techniques, preferences or interests; and

an information locator coupled to the host knowledge warehouse, wherein the information locator is configured to generate a query conforming to user characteristics for retrieving data of interest and broadcasting the query to one or more information sources through autonomous software agents to navigate through a network hunting for information of interest for the user, wherein the information locator is further configured to receive results of the broadcasted query, communicate the results to the user, and update the host knowledge warehouse with responses from the user to the results; and

a handheld device adapted to communicate with the host computer, the handheld device including a computer-implemented assistant coupled to the information locator, wherein the assistant is configured to dynamically adapt to the user styles, techniques, preferences or interests, update the user styles, techniques, preferences or interests in the host knowledge warehouse, and instruct the information locator to locate data on events of interest for the user based on the user styles, techniques, preferences or interests through the autonomous software agents to navigate through the network hunting for information of interest for the user, and wherein, autonomously and without explicit user request, the assistant is configured to schedule and execute multiple information retrieval tasks in accordance with user priorities, deadlines and preferences;

wherein the assistant further includes an event scheduler, wherein the event scheduler is configured to;

schedule incoming user calendar event requests based on using an autonomous agent;

wherein the autonomous agent, without explicit user request, gathers information of interest to the user;

display to the user an incoming event request and a summary of related events previously scheduled;

determine whether the incoming event request conflicts with a previously scheduled user calendar event;

retrieve a history of events similar to the previously scheduled user calendar event to derive an expected event duration of the previously scheduled user calendar event;

replace time allocated for the previously scheduled user calendar event with the expected event duration;

using a current location of the handheld device, determine a travel time from a location of the previously scheduled user calendar event to a location of the incoming event request, to be an estimated transit time;

add the estimated transit time from the previously scheduled event to the incoming requested event;

subtract the estimated transit time from a start time of a next scheduled event;

check if the subtracted time overlaps into the time requested for the incoming event request; and

if so, indicate an error; and

if not, assist the user in scheduling the incoming event request based on the location and the estimated transit time.

16. The computer system of claim 15, wherein the assistant is configured to generate a trip itinerary.

17. The computer system of claim 15, wherein the one or more information sources comprise computer data on the Internet responsive to a query, wherein the event scheduler is configured to analyze durations, deadlines, and delays within a plan while scheduling information retrieval tasks, wherein a schedule is dynamically generated by incrementally building plans at multiple levels of abstraction to reach a goal and the plans are continually updated by information received from the assistant, the information allowing the event scheduler to adjust the plan to unplanned events, wherein the assistant is configured to spawn a child process which sends a query to one or more remote database engines and while search results are displayed to the user, user interaction with the search results is monitored in order to determine relevancy of the search result or user interest in the search.

18. The computer system of claim 15, wherein the assistant is configured to automatically recommend an event or a service for the user based on the user styles, techniques, preferences or interests.

19. he computer system of claim 15, wherein the assistant comprises two personalities, one residing on the handheld device interacting with the user and one residing on the host computer with the information locator executing searches in a background, and when results are found, the assistant residing on the host computer is configured to prioritize the retrieved information and transform data sent to the handheld computer for fast and robust wireless transmission.