Device and method for presenting news information

• US 20010025288A1
• Filed: 12/27/2000
• Published: 09/27/2001
• Est. Priority Date: 03/17/2000
• Status: Active Grant

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Yanase, Takashi, Nakao, Yoshio
• Granted Patent: US 7,137,067 B2
• Time in Patent Office: Days
• US Class Current: 715/530
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access

Abstract

A user can efficiently obtain useful information by breaking down news information distributed in a form of electronic mail, magazines, etc., in units of articles, selecting from useful information from the broken-down articles, collecting the selected articles, re-editing the articles in a form of news information suited to be presented to a user and outputting the news information.

Claims

1. A device for extracting useful information from news information and presenting the information to a user, comprising:

a news information division unit breaking down the news information in units of articles;

a useful article selection unit selecting useful articles from the broken-down articles; and

a news information re-editing unit collecting the selected articles, re-editing the articles in a form of news information suited to be presented to a user and outputting the re-edited articles.

2. The device according to

claim 1

, wherein

said news information division unit detects article portions included in the news information by analyzing a document format of the news information and breaks down the article portions in units of articles.

3. The device according to

claim 1

, wherein

said useful article selection unit comprises:

an article grouping unit classifying the broken-down articles into a plurality of groups based on similarity degree among the broken-down articles;

an article group selection unit selecting one or more groups from the plurality of the groups based on topicality degree for indicating degree of topicality of each of the groups; and

a typical article selection unit selecting one or more articles from articles belonging to each of the selected groups and designating the articles as typical articles of the group.

4. The device according to

claim 3

, wherein

said article group selection unit calculates the topicality degree based on both total number of articles belonging to the group and total number of information sources of articles belonging to the group.

5. The device according to

claim 3

, further comprising

a user instruction input unit inputting the user'"'"'s instructions on news information presenting,

wherein said typical article selection unit selects one or more articles from articles belonging to each of the groups selected by the article group selection unit according to the instructions inputted to the user instruction input unit.

6. The device according to

claim 5

, wherein

said typical article selection unit selects one or more articles from articles belonging to each of the groups selected by the article group selection unit according to the instruction on distribution date of news information including the articles.

7. The device according to

claim 3

, wherein

said news information re-editing unit outputs typical articles selected from the groups in an order corresponding to topicality degree of a group selected by the said article group selection unit.

8. The device according to

claim 3

, wherein

said news information re-editing unit outputs the typical articles in an order corresponding to distribution date of news information including articles that are selected from groups selected by said article group selection unit.

9. The device according to

claim 7

, wherein

said news information re-editing unit outputs typical articles selected from groups selected by said article group selection unit and also outputs other typical articles selected from the groups as related articles.

10. The device according to

claim 8

, wherein

said news information re-editing unit outputs typical articles that are selected from groups selected by said article group selection unit and also outputs other typical articles selected from the groups as related articles.

11. The device according to

claim 3

, wherein

said news information re-editing unit outputs simplified typical articles obtained by omitting a part of contents of typical articles that are selected from the groups selected by said article group selection unit and sets up hyperlinks for indicating the location of the typical articles in the simplified typical articles.

12. The device according to

claim 3

, wherein

said news information re-editing unit outputs typical articles that are selected from the groups selected by said article group selection unit and also outputs graphics included in the typical articles.

13. The device according to

claim 3

, wherein

said news information re-editing unit converts contents of typical articles that are selected from the groups selected by said article group selection unit into a form suited for loud reading and outputs the converted contents.

14. The device according to

claim 13

, wherein

said news information re-editing unit outputs only titles of typical articles that are selected from the groups selected by said article group selection unit.

15. A device for extracting useful information from news information and presenting the information to a user, comprising:

information division means for breaking down the news information in units of articles;

useful article selection means for selecting useful articles from the broken-down articles; and

news information re-editing means for collecting the selected articles, and re-editing the articles in a form of news information suited to be presented to a user and outputting the re-edited articles.

16. The device according to

claim 15

, wherein

said useful article selection means comprises:

article grouping means for classifying the broken-down articles into a plurality of groups based on similarity degree among the broken-down articles;

article grouping selection means for selecting one or more groups from the plurality of groups based on topicality degree for indicating degree of topicality of the group; and

typical article selection means for selecting one or more articles from articles belonging to each of the selected groups and designating the articles as typical articles of the respective group.

17. A method for extracting useful information from news information and presenting the information to a user, comprising:

breaking down the news information in units of articles;

selecting useful articles from the broken-down articles; and

collecting the selected articles, and re-editing the articles in a form of news information suited to be presented to a user and outputting the reedited articles.

18. The method according to

claim 17

, wherein

said selection of useful articles comprises:

classifying the broken-down articles into a plurality of groups based on similarity degree among the broken-down articles;

selecting one or more groups from the plurality of groups based on topicality degree for indicating the degree of topicality of the group; and

selecting one or more articles from articles belonging to each of the selected groups and designating the articles as typical articles.

19. A computer-readable storage medium on which is recorded a program to direct a computer to extract useful information from news information and to present the extracted information to a user, said program directing the computer to execute the processes of:

breaking down the news information in units of articles;

selecting useful articles from the broken-down articles; and

collecting the selected articles, re-editing the articles in a form of news information suited to be presented to a user and outputting the re-edited articles.

20. The storage medium according to

claim 19

, wherein

said process of selecting useful articles comprises the processes of:

classifying the broken-down articles into a plurality of groups based on similarity degree among the broken-down articles;

selecting one or more groups from the plurality of groups based on topicality degree for indicating the degree of topicality of the group; and

selecting one or more articles from articles belonging to each of the selected groups and designating the articles as typical articles. articles.

21. A computer data signal embodied in a carrier wave and representing a program to direct a computer to extract useful information from news information and to present the information to a user, said program directing the computer to execute the processes of:

breaking down the news information in units of articles;

selecting useful articles from the broken-down articles; and

collecting the broken-down articles, re-editing the articles in a form of news information suited to be presented to a user and outputting the reedited articles.

22. The computer data signal according to

claim 21

, wherein said process of selecting useful articles comprises the processes of:

classifying the broken-down articles into a plurality of groups based on similarity degree among the broken-down articles;

selecting one or more groups from the plurality of groups based on topicality degree for indicating the degree of topicality of the group; and

selecting one or more articles from articles belonging to each of the selected groups and designating the articles as typical articles.