METHOD AND APPARATUS FOR IMAGE PROCESSING, PROGRAM, AND RECORDING MEDIUM

• US 20100061661A1
• Filed: 09/03/2009
• Published: 03/11/2010
• Est. Priority Date: 09/08/2008
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: TSUNODA, Tomohiro, KAMIMAEDA, Naoki, MASUDA, Hiroyuki
• Granted Patent: US 8,434,109 B2
• Time in Patent Office: Days
• US Class Current: 382/298
• CPC Class Codes: G06F 16/532 Query formulation, e.g. graphical querying
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 7/24 Sorting, i.e. extracting data from one or more carriers, rearranging the data in numerical or other ordered sequence, and rerecording the sorted data on the original carrier or on a different carrier or set of carriers sorting methods in generalG06F7/36 takes precedence
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; 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 21/44222 Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• 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 21/4668 for recommending content, e.g. movies

Abstract

An information processing apparatus includes a managing unit that manages a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other, a first extracting unit that extracts items belonging to the same series as top N series, obtained by sorting the scales, from among a plurality of items, a taste managing unit that manages taste of a user, a second extracting unit that calculates the degree of similarity between the taste managed by the taste managing unit and each item to extract items with higher degrees of similarity, and a recommending unit that recommends a predetermined number of items among the items extracted by the first extracting unit and the items extracted by the second extracting unit to the user.

Claims

1. An information processing apparatus comprising:

managing means for managing a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other;

first extracting means for extracting items belonging to the same series as top N series, obtained by sorting the scales, from among items;

taste managing means for managing taste of a user;

second extracting means for calculating the degree of similarity between the taste managed by the taste managing means and each item to extract items with higher degrees of similarity; and

recommending means for recommending a predetermined number of items among the items extracted by the first extracting means and the items extracted by the second extracting means to the user.

2. The apparatus according to claim 1, wherein the scale is calculated by adding values set to respective operations of recording, viewing, and transferring the corresponding item to another apparatus.

3. The apparatus according to claim 1, wherein the scale is attenuated at predetermined intervals.

4. The apparatus according to claim 1, further comprising:

multiplying means for calculating a value indicating to what extent viewing in series is recommended and multiplying each of the degrees of similarity of the items, extracted by the second extracting means, by the calculated value.

5. A method for information processing, comprising the steps of:

referring to information, including a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other, stored in storing means to extract items belonging to the same series as top N series, obtained by sorting the scales, from among a plurality of items;

referring to taste of a user, the taste being stored in storing means, and calculating the degree of similarity between the taste and each item to extract items with higher degrees of similarity; and

recommending the extracted items to the user.

6. A computer-readable program that allows a computer to execute a process comprising the steps of:

referring to information, including a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other, stored in storing means to extract items belonging to the same series as top N series, obtained by sorting the scales, from among a plurality of items;

referring to taste of a user, the taste being stored in storing means, and calculating the similarity between the taste and each item to extract items with higher degrees of similarity; and

recommending the extracted items to the user.

7. A recording medium that stores the program according to claim 6.

8. An information processing apparatus comprising:

a managing unit configured to manage a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other;

a first extracting unit configured to extract items belonging to the same series as top N series, obtained by sorting the scales, from among items;

a taste managing unit configured to manage taste of a user;

a second extracting unit configured to calculate the degree of similarity between the taste managed by the taste managing unit and each item to extract items with higher degrees of similarity; and

a recommending unit configured to recommend a predetermined number of items among the items extracted by the first extracting unit and the items extracted by the second extracting unit to the user.