Selection item display system using an adaptive-type backend system required for user's operation support in a frontend and a learning server, and methods

• US 5,953,011 A
• Filed: 08/31/1995
• Issued: 09/14/1999
• Est. Priority Date: 09/01/1994
• Status: Expired due to Term

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Matsuoka, Masahiro
• Primary Examiner(s): Kim, Matthew M.
• Assistant Examiner(s): dela Torre, Crescelle N.
• Application Number:
  US08/521,727
• Time in Patent Office: 1,475 Days
• Field of Search: 395/333, 395/334, 395/336, 395/337, 395/338, 395/348, 395/339, 395/326, 395/352, 395/353, 395/23, 395/20, 395/51, 395/75, 395/77, 345/333, 345/334, 345/336, 345/337, 345/338, 345/348, 345/339, 345/326, 345/352, 345/353, 706/25, 706/60, 706/46, 706/59, 706/61
• US Class Current: 715/764
• CPC Class Codes: G06F 9/453 Help systems
• CPC Class Codes: G06F 9/45512 Command shells

Abstract

An easy-operation selection item display system and method is provided for use in an information processing device. Specifically, an appropriate amendment method and display method can be automatically provided for various types of selecting operations to improve the efficiency of the users'"'"' selecting operations. The operation model learning device generates, for example, an operation model B₁ by learning, using a probability model of the history of the past selecting operations of the user collected by the operation history collecting device for each of, for example, the selecting operation group A₁. The operation model translating device translates, for example, an operation model B₁, and generates, for example, the descriptions C₁ of the display method. The selecting function providing device displays a selection item such as selecting operation group A₁, etc. according to the display method specified by, for example, the description C₁. The user selects the next item from the selection items displayed as the result of the past selecting operations with the optimum time of operations.

Claims

1. A system for displaying a plurality of selection items of an operation group, selected by a user from a plurality of operation groups, in an order, by using an information processing device, comprising:

collecting means for collecting a selection item selected by the user from the selected operation group;

learning means for selecting an operation history corresponding to the selected operation group, and generating an operation model indicating a feature of a selecting operation performed by said user according to the selected operation history, the operation model being generated based on a secondary or higher order Markov model which determines probabilities of a third and subsequent selection items to be selected after a first selection item is selected;

translating means for generating descriptions of a display method based on both of the operation model generated by said learning means and a display restriction specifying a display format of the selection items, the descriptions being constructed in consideration of probabilities with which items are selected, the probabilities varying depending on an operation context in which a plurality of items are selected sequentially by the user; and

display means for displaying said selection items based on descriptions of the display method generated by said translating means.

2. The system according to claim 1, wherein:

said learning means also learns a second operation history in accordance with history information from the selected operation history, represents a probability with which said selection item is selected, and generates said operation model not limited by said display restrictions.

3. The system according to claim 2, wherein:

said learning means generates said operation model using a probability model in which a selection item rate in a plurality of previously selected selection items is used as a probability with which said selection item is selected.

4. The system according to claim 2, wherein:

said learning means determines a ratio of an initial selection item being a primary selection item and a next selection item being a secondary selection item to a number of sets for said initial selection item being said primary selection item among sets for two selection items selected continuously in previously selected plural selection itemis, uses a probability model of said ratio being a probability with which said second selection item is selected after said primary selection item is selected, and then generates s aid operation model.

5. The system according to claim 2, wherein:

said learning means selects a probability model describing the probability that said selection item is selected, and then generates said operation model suitable for features of said selecting operation performed by said user.

6. The system according to claim 2, further comprising:

storing means for storing said operation model, and wherein;

said learning means amends the probability with which said selection items in said operation model, stored in said storing means, are selected based on said second operation history, and updates said operation model.

7. The system according to claim 2, wherein:

said display means displays the plurality of operation groups; and

said collecting means collects said selection items selected by said user from the selected operation group as the second operation history by a collecting method specified by said learning means, and transfers the second operation history to said learning means by a transfer method specified by said learning means.

8. The system according to claim 1, wherein:

said translating means evaluates the operation model and determines a display order of the selection items, and generates a description for an optimum display method according to the determined display order and the display restriction; and

said display means displays said selection items according to the selected operation and a display format specified by the description of the optimum display method.

9. The system according to claim 1, further comprising:

storing means for storing descriptions of said display method, and wherein;

said translating means updates the descriptions of said display method stored in said storage means according to an update of said operation model and amendments to display restrictions.

10. The system according to claim 1, wherein:

said display means dynamically amends the display formats of said selection items according to an update of descriptions of said display method by said translating means.

11. The system according to claim 1, further comprising:

management means for specifying one operation of said system, providing a probability model capable of being used for a specified selecting operation to said learning means, providing said display restriction and a display order evaluating method capable of being used for said specified selecting operation, and managing an operation for said translating means and said learning means.

12. The system according to claim 11, wherein:

said management means uses a basic operation file describing at least one of said specified selecting operation, said probability model, an evaluation method, and said display restrictions, and collectively manages thereby operations for said learning means and said translating means.

13. The system according to claim 12, wherein:

said management means adaptively generates a basic operation file through an interaction with said user or a system manager.

14. A system, comprising:

collecting means for collecting a plurality of operation results from a user working on information processing systems as a plurality of corresponding operation histories;

learning means for selecting an operation history from the plurality of operation histories, and generating an operation model representing user operation characteristics based on the selected operation history transferred from said collecting means, the operation model being generated based on a secondary or higher order Markov model which determines probabilities of a third and subsequent selection items to be selected after a first selection item is selected;

translating means for generating an operational method description based on the operation model generated by said learning means, the operational method description being constructed in consideration of probabilities with which items are selected, the probabilities varying depending on an operation context in which a plurality of items are selected sequentially by the user; and

display means for providing an operation method to said user based on said operational method description generated by said translating means.

15. The system according to claim 14 further comprising:

processing means for loading and executing a library used by the user working on said information processing systems; and

wherein;

said collecting means collects said plurality of operation histories in response to a corresponding loading order for said library loaded by user operations; and

said display means provides an operation method fitting said user operations.

16. A system, comprising:

learning means for selecting an operation history from a plurality of operation histories;

translating means for determining a ratio of an initial selection item, being a primary selection item, and subsequent selection items to a number of sets for said primary selection item among sets for plural selection items selected continuously in previously selected plural selection items of the selected operation history, such that the plural selection items are selected according to a secondary or higher order Markov model, and deciding a display order of subsequent selection items when said primary selection item is selected based on said ratios; and

display means for displaying a selection item according to the display order decided by said translating means,

thereby displaying selection items in an order decided by an operation context which is a sequence in which the user previously and sequentially selected the selection items.

17. A method for displaying a selection item, comprising the steps of:

collecting selection items selected by a user as corresponding operation histories;

selecting an operation history from the plurality of operation histories;

generating an operation model indicating user selecting operation characteristics based on the selected operation history, the operation model being generated based on a secondary or higher order Markov model which determines probabilities of a third and subsequent selection items to be selected after a first selection item is selected;

generating a display method description based on a generated operation model and a display restriction designating a selection item display format, the display method descriptions being constructed in consideration of probabilities with which items are selected, the probabilities varying depending on an operation context in which a plurality of items are selected sequentially by the user; and

displaying said selection items based on the generated display method description.

18. The method according to claim 17, wherein:

said operation model is generated based on a probability model in which a ratio of a selection item contained in previously selected plural selection items is a probability for a selection item to be selected.

19. The method according to claim 17, wherein:

a ratio of an initial selection item being a primary selection item and a next selection item being a secondary selection item among sets for two selection items selected continuously in previously selected plural selection items is determined, and said operation model is generated based on a probability model in which said ratio is a probability for said secondary selection item after said primary selection item is selected.