Experience/preference information providing system

• US 7,516,225 B2
• Filed: 07/28/2004
• Issued: 04/07/2009
• Est. Priority Date: 05/29/1998
• Status: Expired due to Fees

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Yoshida, Kimiyoshi
• Primary Examiner(s): Cardone; Jason D
• Assistant Examiner(s): Pollack; Melvin H
• Application Number:
  US10/900,855
• Publication Number:
  US 20050021729A1
• Time in Patent Office: 1,714 Days
• Field of Search: 709/201, 709/228, 709/203, 705/26, 707/4, 707/7, 707/10, 707/104.1
• US Class Current: 709/228
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99937 Sorting

Abstract

Upon receiving a request for preparing a recommended CD list in Step S71, the experience/preference information providing server stores the member ID of the user requested a recommended CD list as remarkable member in Step S72. Then, in Step S73, the experience/preference information providing server extracts members having a taste similar to that of the remarkable member as taste sharing members (members who like CDs (music) similar to those the remarkable member likes). In Step S74, the experience/preference information providing server prepare a synthetic experience/preference list by collecting experience/preference element data of the taste sharing members. In Step S75, the experience/preference information providing server 14 prepares a recommended experience (CD) list best adapted to the user from the synthetic experience/preference list and transmits it to the terminal unit of the remarkable member.

Claims

1. An information processing apparatus for providing a recommendation of an item to a user, comprising:

user input means for inputting a category associated with a first item and a preference level of said first item and for inputting a recommendation request for another item associated with said category, the preference level being within a predetermined preference level range;

memory means for storing said preference level in accordance with said first item;

evaluate means for evaluating an ambiguity of said preference level in reference to a maximum ambiguous preference level within the preference level range, deriving a weighting factor based on said ambiguity of said preference level and adjusting a preference level evaluation result of said first item based on said weighting factor, said evaluate means deriving said weighting factor based on a difference of said preference level from said maximum ambiguous preference level, such that said ambiguity decreases and said weighting factor correspondingly increases as said preference level increases relative to said said maximum ambiguous preference level within said preference level range, and said ambiguity increases and said weighting factor correspondingly decreases as said preference level approaches said said maximum ambiguous preference level;

extract means for extracting, in response to said recommendation request, said other item stored in said memory means based upon the preference level evaluation result of said first item from said evaluate means and a predetermined preference level threshold value; and

display means for displaying said other item extracted by extract means in response to said recommendation request.

2. The information processing apparatus of claim 1, wherein

wherein said evaluate means determines said ambiguity of said preference level in accordance with a second predetermined level associated with a minimum ambiguous preference and said weighting function is configured such that said ambiguity increases as the preference level moves away from said second predetermined level and decreases as said preference level approaches said second predetermined level.

3. The information processing apparatus of claim 2, wherein said ambiguity decreases as the preference level moves away from said maximum ambiguous preference level towards said second predetermined level.

4. The information processing apparatus of claim 3, wherein said second predetermined level has a value from 0 to the first predetermined level.

5. The information processing apparatus of claim 4, wherein said second predetermined level has a value from the maximum ambiguous preference level to 1.

6. The information processing apparatus of claim 3, wherein said input means is operatively configured to input said preference level based upon a selected option representing said preference level.

7. The information processing apparatus of claim 3, wherein said display means displays said other item in association with a preference level corresponding to said other item.

10. The information processing apparatus of claim 1, wherein

said memory means stores said preference level in accordance with said first item for a first user and stores a second preference level in accordance with said first item for a second user;

said evaluate means evaluates an ambiguity of said second preference level in reference to said maximum ambiguous preference level within the preference level range, deriving a second weighting factor based on said ambiguity of said second preference level and adjusting a preference level evaluation result of said second item based on said second weighting factor, said evaluate means deriving said second weighting factor based on a difference of said second preference level from said maximum ambiguous preference level, such that said ambiguity of said second preference level decreases and said second weighting factor correspondingly increases as said second preference level increases relative to said maximum ambiguous preference level within said preference level range, and said ambiguity of said second preference level increases and said second weighting factor correspondingly decreases as said second preference level approaches said maximum ambiguous preference level; and

said extract means extracts, in response to said recommendation request, said other item stored in said memory means based upon the predetermined preference level threshold value and a difference between the preference level and the second preference level adjusted by the preference level evaluation result of said first item for the first user and the second preference level evaluation result of said first item for the second user.

8. A method for providing a recommendation of an item to a user, comprising:

receiving a category associated with a first item and a preference level of said first item from a user, the preference level being within a predetermined preference level range;

receiving a recommendation request for another item associated with said category;

storing said preference level in accordance with said first item;

evaluating an ambiguity of said preference level in reference to a maximum ambiguous preference level within the preference level range, deriving a weighting factor based on said ambiguity of said preference level and adjusting a preference level evaluation result of said first item based on said weighting factor, said evaluate means deriving said weighting factor based on a difference of said preference level from said maximum ambiguous preference level, such that the ambiguity decreases and said weighting factor correspondingly increases as the preference level increases relative to the maximum ambiguous preference level within said preference level range, and said ambiguity increases and said weighting factor correspondingly decreases as said preference level approaches said maximum ambiguous preference level;

extracting, in response to said recommendation request, said other item stored in said memory means based upon the preference level evaluation result from said evaluate means and a predetermined preference level threshold value; and

displaying said other item.

9. A computer-readable medium containing instructions for controlling a computer system to perform a method for providing a recommendation of an item to a user, the method comprising:

receiving a category associated with a first item and a preference level of said first item from a user, the preference level being within a predetermined preference level range;

receiving a recommendation request for another item associated with said category;

storing said preference level in accordance with said first item;

evaluating an ambiguity of said preference level in reference to a maximum ambiguous preference level within the preference level range, deriving a weighting factor based on said ambiguity of said preference level and adjusting a preference level evaluation result of said first item based on said weighting factor, said evaluate means deriving said weighting factor based on a difference of said preference level from said maximum ambiguous preference level, such that the ambiguity decreases and said weighting factor correspondingly increases as the preference level increases relative to the maximum ambiguous preference level within said preference level range, and said ambiguity increases and said weighting factor correspondingly decreases as said preference level approaches said maximum ambiguous preference level;

extracting, in response to said recommendation request, said other item stored in said memory means based upon the preference level evaluation result from said evaluate means and a predetermined preference level threshold value; and

displaying said other item extracted by extract means.