Information retrieval method and apparatus

• US 7,343,616 B1
• Filed: 05/14/1998
• Issued: 03/11/2008
• Est. Priority Date: 05/14/1998
• Status: Expired due to Fees

• Current Assignee: Saturn Licensing LLC (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Yoshida, Kimiyoshi, Takahashi, Yasushi, Fujiwara, Yoshihito
• Primary Examiner(s): BROWN, RUEBEN M
• Application Number:
  US09/078,853
• Time in Patent Office: 3,589 Days
• Field of Search: 725/46, 725/35, 725/9, 725/34
• US Class Current: 725/46
• CPC Class Codes: H04H 60/45 for identifying users
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04H 60/65 for using the result on users' side
• 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 21/4661 Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home user profiles in network data switching protocols H04L67/306
• 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 21/4758 for providing answers, e.g. voting
• CPC Class Codes: H04N 21/482 End-user interface for program selection broadcast systems using EPGs H04H60/72
• CPC Class Codes: H04N 7/163 by receiver means only

Abstract

Based on a user'"'"'s own basic selection tastes, the priority order of the information is determined, so that an information retrieval method and the apparatus which can retrieve the information desired by the user easily among from a huge amount of programs can be realized.

Claims

1. An information retrieval method, comprising the steps of:

forming a general user model based on statistical data obtained by audience research on the actions of a plurality of users;

said general user model having general user selection taste data;

said statistical data including an audience rating for each of a plurality of genres, a plurality of life-scenes, and wherein each user is classified according to various characteristics including at least an age, a sex, and a life-stage;

inputting a user profile for a specific user;

forming an initial user model for said specific user based on said general user selection data and said user profile;

forming a study user model on the basis of said initial user model and an information selection history for said specific user;

retrieving information suiting said specific user based on said study user model by calculating a genre taste value based on a request time for an electronic program guide (EPG);

said genre taste value being calculated using a life-scene/time function representing a relationship between the life-scene corresponding to the request time and a time-variable coefficient, said time-variable coefficient being determined by a linear interpolation on the basis of the request time and defining a value for said life-scene/time function; and

rearranging and displaying the EPG based on a genre priority table formed using the retrieved information and the calculated genre taste value;

wherein said general user selection taste data is dispersed data, including time related data, that is interpolated into continuous data by an interpolation method specified by an interpolation control identification key.

2. The information retrieval method according to claim 1, wherein said interpolation method is a method of interpolating in accordance with a user attribute and/or a state of information utilization.

3. An information retrieval apparatus, comprising:

general user model forming means for forming a general user model based on statistical data obtained by audience research on the actions of a plurality of users;

said general user model having general user selection taste data;

said statistical data including an audience rating for each of a plurality of genres, a plurality of life-scenes, and wherein each user is classified according to various characteristics including at least an age, a sex, and life-scene;

input means for inputting a user profile for a specific user;

initial user model forming means for forming an initial user model for said specific user based on said general user selection data and said user profile;

study user model forming means for forming a study user model on the basis of said initial user model and an information selection history for said specific user;

retrieving means for retrieving information suiting said specific user based on said study user model by calculating a genre taste value based on a request time for an electronic program guide (EPG);

said genre taste value being calculated using a life-scene/time function representing a relationship between the life-scene corresponding to the request time and a time-variable coefficient, said time-variable coefficient being determined by a linear interpolation on the basis of the request time and defining a value for said life-scene/time function; and

display means for rearranging and displaying the EPG based on a genre priority table formed using the retrieved information and the calculated genre taste value;

wherein said general user selection taste data is dispersed data, including time related data, that is interpolated into continuous data by an interpolation method specified by an interpolation control identification key.

4. The information retrieval apparatus according to claim 3, further comprising storing means for storing said general user selection taste data as the continuous data is converted into dispersed data.

5. The information retrieval apparatus according to claim 4, wherein said storing means stores the identification key for specifying said interpolation method, together with said dispersed data.

6. The information retrieval apparatus according to claim 4, further comprising rewriting means for rewriting the general user selection taste data of said storing means onto another storing means.