Information processing apparatus, information processing method, program, and recording medium

• US 7,707,283 B2
• Filed: 08/09/2004
• Issued: 04/27/2010
• Est. Priority Date: 08/07/2003
• Status: Expired due to Fees

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Hoshino, Masaaki, Tsunoda, Tomohiro
• Primary Examiner(s): Vaughn, Jr.; William C
• Assistant Examiner(s): Ibrahim; Mohamed
• Application Number:
  US10/914,436
• Publication Number:
  US 20050144295A1
• Time in Patent Office: 2,087 Days
• Field of Search: 709/223, 709/224, 715/716, 715/738, 715/745, 715/747, 700/87, 700/135, 700/145, 725/9, 725/10, 725/11, 707/102
• US Class Current: 709/224
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: H04N 21/235 Processing of additional data, e.g. scrambling of additional data or processing content descriptors
• CPC Class Codes: H04N 21/435 Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4586 Content update operation triggered locally, e.g. by comparing the version of software modules in a DVB carousel to the version stored locally deployment, distribution, installation, update of software G06F8/65; error detection or correction of the data by redundancy during software upgrading G06F11/1433; arrangements for updating broadcast information or broadcast-related information H04H60/25
• CPC Class Codes: H04N 21/4622 Retrieving content or additional data from different sources, e.g. from a broadcast channel and the Internet web site content organization and management for information retrieval from the Internet G06F16/958; transmission by internet of broadcast information H04H60/82; stock exchange data over packet-switching network H04L12/1804; push services including data channel over packet-switching network H04L12/1859
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/47 End-user applications
• CPC Class Codes: H04N 21/4755 for defining user preferences, e.g. favourite actors or genre retrieval personalisation and generation of user profiles for the retrieval of video data G06F16/739; user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/482 End-user interface for program selection broadcast systems using EPGs H04H60/72
• CPC Class Codes: H04N 21/4821 using a grid, e.g. sorted out by channel and broadcast time
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 7/163 by receiver means only

Abstract

An information processing apparatus is provided which includes: a first managing part for managing first data about preferences of a user; a second managing part for managing second data about information; a retrieving part for retrieving the second data about the information used by the user; and an updating part for updating the first data by use of the second data retrieved by the retrieving part. If the second data are found to exist within the first data, then the updating part updates the first data using the second data; if the second data are not found to exist within the first data, then the updating part adds the second data to the first data.

Claims

1. An information processing apparatus comprising:

a display device;

a processor; and

a memory device which stores instructions, which when executed by the processor, cause the processor to operate with the display device to;

(a) manage;

(i) first data about preferences of a user by managing a first factor in association with a first numeric value belonging to the user with respect to the first factor;

(ii) second data about information used by the user by managing a second factor regarding the information in association with a second numeric value belonging to the information with respect to the second factor; and

(iii) a database which includes;

(A) a first reason which corresponds to a third data, said third data specifying that the first reason is to be displayed to the user; and

(B) a second reason which corresponds to a fourth data, said fourth data specifying that the second reason is not to be displayed to the user;

(b) retrieve the second data about the information used by the user;

(c) update the first data by use of the retrieved second data;

(d) if the first factor coinciding with the second factor within the second data are found to exist within the first data;

(i) calculate a new first value using said first value and said second value; and

(ii) write the newly calculated first value into the first data;

(e) if the first factor coinciding with the second factor within the second data are not found to exist within the first data, add the second factor and the second value to the first data;

(f) create a recommended program based on the first data;

(g) provide a reason for the recommended program in terms of degree of match with the first data;

(h) determine, by referencing said database, whether said provided reason for the recommended program corresponds to said first reason;

(i) in response to said provided reason for the recommended program corresponding to said first reason, display said provided reason;

(j) determine, by referencing said database, whether said provided reason for the recommended program corresponds to said second reason; and

(k) in response to said provided reason for the recommended program corresponding to said second reason, suppress display of said provided reason.

5. The information processing apparatus of claim 1, wherein when executed by the processor, the plurality of instructions cause said processor to limit a recommendation based on a conflicting time zone.

9. The information processing apparatus of claim 1, wherein when executed by the processor, the plurality of instructions cause said processor to limit a number of reasons to a specified number of reasons based on a highest degree of match to the first data.

13. The information processing apparatus of claim 1, wherein when executed by the processor, the plurality of instructions cause said processor to acquire the reason for the recommendation from a database using an attribute ID and a value ID associated with a factor used to select the recommended program.

17. The information processing apparatus of claim 1, wherein said recommended program is received from a broadcast station which broadcasts a plurality to programs, wherein said broadcasted programs include a limited number of recommendation marks.

18. The information processing apparatus of claim 1, wherein when executed by the processor, the instructions cause the processor to:

(a) in response to said provided reason for the recommended program corresponding to said first reason, display said provided reason based on first flag data; and

(b) in response to said provided reason for the recommended program corresponding to said second reason, suppress display of said provided reason based on second flag data.

2. An information processing method for use with an information processing apparatus, which includes at least storing parts for storing data and controlling parts for performing predetermined processes by use of the data stored in the storing parts, the method comprising:

managing;

(a) first data about preferences of a user by managing a first factor in association with a first numeric value belonging to the user with respect to the first factor;

(b) second data about information used by the user by managing a second factor regarding the information in association with a second numeric value belonging to the information with respect to the second factor; and

(c) a database which includes;

(i) a first reason which corresponds to a third data, said third data specifying that the first reason is to be displayed to the user; and

(ii) a second reason which corresponds to a fourth data, said fourth data specifying that the second reason is not to be displayed to the user;

retrieving the second data about the information used by the user;

updating the first data by use of the second data retrieved in the retrieving step;

if the first factor coinciding with the second factor within the second data are found to exist within the first data;

(i) calculating a new first value using said first value and said second value; and

(ii) writing the newly calculated first value into the first data;

if the first factor coinciding with the second factor within the second data are not found to exist within the first data, adding the second factor and the second value to the first data;

creating a recommended program based on the first data;

transmitting the recommended program and a reason for the recommended program in terms of degree of match with the first data;

determining, by referencing said database, whether said transmitted reason for the recommended program corresponds to said first reason;

in response to said transmitted reason for the recommended program corresponding to said first reason, displaying said transmitted reason;

determining, by referencing said database, whether said transmitted reason for the recommended program corresponds to said second reason; and

in response to said transmitted reason for the recommended program corresponding to said second reason, suppressing display of said provided reason.

6. The information processing method of claim 2, which includes limiting a recommendation based on a conflicting time zone.

10. The information processing method of claim 2, which includes limiting a number of reasons to a specified number of reasons based on a highest degree of match to the first data.

14. The information processing method of claim 2, which includes acquiring the reason for the recommendation from a database using an attribute ID and a value ID associated with a factor used to select the recommended program.

3. A program, on a computer readable medium, for use with an information processing apparatus, which includes at least storing parts for storing data and controlling parts for performing predetermined processes by use of the data stored in the storing parts, the program comprising:

a management step of managing;

(a) first data about preferences of a user by managing a first factor in association with a first numeric value belong in to the user with respect to the first factor;

(b) second data about information used by the user by managing a second factor regarding the information in association with a second numeric value belonging to the information with respect to the second factor; and

(c) a database which includes;

(i) a first reason which corresponds to a third data, said third data specifying that the first reason is to be displayed to the user; and

(ii) a second reason which corresponds to a fourth data, said fourth data specifying that the second reason is not to be displayed to the user;

a retrieving step of retrieving the second data about the information used by the user;

an updating step of updating the first data by use of the second data retrieved in the retrieving step;

wherein, if the first factor coinciding with the second factor within the second data are found to exist within the first data;

(a) a new first value is calculated using said first value and said second value; and

(b) the newly calculated value is written into the first data;

wherein, if the first factor coinciding with the second factor within the second data are not found to exist within the first data, the updating step adds the second factor and the second value to the first data;

a recommending step of creating a recommended program based on the first data and for providing a reason for the recommended program in terms of degree of match with the first data;

a first determining step of determining, by referencing a database, whether said provided reason for the recommended program corresponds to said first reason;

in response to said provided reason for the recommended program corresponding to said first reason, a display step of displaying said provided reason;

a second determining step of determining, by referencing said database, whether said provided reason for the recommended program corresponds to said second reason; and

in response to said provided reason for the recommended program corresponding to said second reason, a suppressing step of suppressing display of said provided reason.

7. The program, on a computer readable medium of claim 3, wherein the recommending step includes limiting a recommendation based on a conflicting time zone.

11. The program, on a computer readable medium of claim 3, wherein the recommending step includes limiting a number of reasons to a specified number of reasons based on a highest degree of match to the first data.

15. The program, on a computer readable medium of claim 3, wherein the recommending step includes acquiring the reason for the recommendation from a database using an attribute ID and a value ID associated with a factor used to select the recommended program.

4. A recording medium storing a program, the program comprising:

a management step of managing;

(a) first data about preferences of a user by managing in a first factor in association with a first numeric value belonging to the user with respect to the first factor;

(b) second data about information used by the user by managing a second factor regarding the information in association with a second numeric value belonging to the information with respect to the second factor;

(c) a database which includes;

(i) a first reason which corresponds to a third data, said third data specifying that the first reason is to be displayed to the user; and

(ii) a second reason which corresponds to a fourth data, said fourth data specifying that the second reason is not to be displayed to the user;

a retrieving step of retrieving the second data about the information used by the user;

an updating step of updating the first data by use of the second data retrieved in the retrieving step;

wherein, if the first factor coinciding with the second factor within the second data are found to exist within the first data;

(a) a new first value is calculated using said first value and said second value; and

(ii) the newly calculated first value is written into the first data;

wherein, if the first factor coinciding with the second factor within the second data are not found to exist within the first data, the updating step adds the second factor and the second value to the first data;

a recommending step of creating a recommended program based on the first data and for providing a reason for the recommended program in terms of degree of match with the first data;

a first determining step of determining, by referencing a database, whether said provided reason for the recommended program corresponds to said first reason;

in response to said provided reason for the recommended program corresponding to said first reason, a displaying step for displaying said provided reason;

a second determining step of determining, by referencing said database, whether said provided reason for the recommended program corresponds to said second reason; and

in response to said provided reason for the recommended program corresponding to said second reason, a suppressing step of suppressing display of said provided reason.

8. The recording medium of claim 4, wherein the recommending step includes limiting a recommendation based on a conflicting time zone.

12. The recording medium of claim 4, wherein the recommending step includes limiting a number of reasons to a specified number of reasons based on a highest degree of match to the first data.

16. The recording medium of claim 4, wherein the recommending step includes acquiring the reason for the recommendation from a database using an attribute ID and a value ID associated with a factor used to select the recommended program.