Method of Generating and Methods of Filtering a User Profile

• US 20080275904A1
• Filed: 10/27/2006
• Published: 11/06/2008
• Est. Priority Date: 11/16/2005
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Breebaart, Dirk Jeroen, McKinney, Martin Franciscus
• Application Number:
  US12/093,461
• Publication Number:
  US 20080275904A1
• Time in Patent Office: Days
• US Class Current: 707/102
• CPC Class Codes: G06F 16/634 Query by example, e.g. query by humming
• CPC Class Codes: G06F 16/637 Administration of user profiles, e.g. generation, initialization, adaptation or distribution
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content

Abstract

A method of generating a user profile (7;17,19;29) of a user of a device (14,15;23-26) for processing data representative of items of content, a respective recording of at least one perceptible content element being associated with each item of content, includes determining a set (3) containing a plurality of recordings of at least one perceptible content element, each associated with one of a plurality of items of content associated with the user, and generating data representative of a user profile (7;17,19;29) associating preferences of the user with the user, wherein the data representative of the user profile (7;17,19;29) includes one or more parameter values within an at least one-dimensional feature space, each dimension representing a property of at least a section of a recording of at perceptible content element, such that at least one of the dimensions in the feature space represents a quantifiable property of at least a section of a perceptible content element. At least one set of parameter values, each set containing at least one parameter value and quantifying a dimension of the feature space in the user profile (7;17,19;29), is obtained by applying a pre-determined analysis algorithm to each of a plurality of signals, each signal representing at least a section of a recording of at least one perceptible content element, such that the set of parameter values is based on a plurality of the recordings in the set of recordings.

Claims

1. Method of generating a user profile (7;

17,19;

29) of a user of a device (14,15;

23-26) for processing data representative of items of content, a respective recording of at least one perceptible content element being associated with each item of content, including

determining a set (3) containing a plurality of recordings of at least one perceptible content element, each associated with one of a plurality of items of content associated with the user, and

generating data representative of a user profile (7;

17,19;

29) indicating preferences of the user, wherein the data representative of the user profile (7;

17,19;

29) includes one or more parameter values within an at least one-dimensional feature space, each dimension representing a property of at least a section of a recording of a perceptible content element, such that at least one of the dimensions in the feature space represents a quantifiable property of at least a section of a recording of a perceptible content element, characterised in that

at least one set of parameter values, each set containing at least one parameter value and quantifying a dimension of the feature space in the user profile (7;

17,19;

29), is obtained by applying a pre-determined analysis algorithm to each of a plurality of signals, each signal representing at least a section of a recording of at least one perceptible content element, such that the set of parameter values is based on a plurality of the recordings in the set of recordings.

2. Method according to claim 1, wherein the data representative of the user profile (7;

17,19,29) includes data representative of the distribution over the plurality of recordings in the set of recordings of parameter values obtained by applying the pre-determined analysis algorithm to the signals representing at least sections of the respective recordings.

3. Method according to claim 2, including applying a clustering algorithm to the parameter values obtained by applying the predetermined analysis algorithm to the signals representing at least sections of the respective recordings, and including in the data representative of the user profile (7;

17,19,29) data indicating the position of the clusters (10-12) along at least one quantified dimension of the feature space.

4. Method according to claim 2, wherein the data representative of the user profile (7;

17,19,29) includes data indicating the strength of each cluster (10-12).

5. Method according to claim 2, wherein the data representative of the user profile (7;

17,19;

29) includes data indicating the spread of each cluster (10-12) along at least one quantified dimension of the feature space.

6. Method according to claim 1, wherein at least one further set of parameter values, each set containing at least one parameter value and quantifying at least one further dimension of the feature space, is obtained by applying at least one predetermined analysis algorithm to each of a plurality of signals, each signal representing at least a section of a recording of at least one perceptible content element in the set of recordings,

wherein at least one measure of a correlation between parameter values quantifying different dimensions of the feature space is determined, and

wherein data representative of the determined measures is included among the data representative of the user profile.

7. Method according to claim 1, including determining the items of content associated with the user on the basis of a user'"'"'s selection of the items of content for processing by the user device.

10. Method of filtering a user profile (7;

17,19;

29) expressing preferences of a user of a device (14,15;

23-26) for processing data representative of items (1;

30) of content having respective recordings of at least one perceptible content element associated with them, including

generating data representative of a user profile indicating preferences of the user, wherein the data representative of the user profile (17;

29) includes one or more parameter values within an at least one-dimensional feature space, each dimension representing a property of at least a section of a recording of a perceptible content element, such that at least one of the dimensions in the feature space represents a quantifiable property of at least a section of a recording of a perceptible content element, and determining, using a similarity metric, whether any of one or more further profiles (19;

37) including a set of one or more parameter values within the feature space match the user profile, wherein the data representative of the user profile (7;

17,19;

29) is generated by applying a method according to claim 1.

14. System for generating a user profile, configured to execute a method according to claim 1.

16. Computer program including a set of instructions capable, when incorporated in a machine-readable medium, of causing a system (14,15,22-27) having information processing capabilities to perform a method according to claim 1.

8. Method of filtering a user profile (7;

17,19;

29) of a user of a device for processing data representative of items (1;

30) of content, a respective recording of at least one perceptible content element being associated with each item of content, including

determining a set containing at least one recording of at least one perceptible content element, respectively associated with items of content associated with the user,

generating data representative of a user profile indicating preferences of the user, wherein the data representative of the user profile (7;

17,19;

29) includes one or more parameter values within an at least one-dimensional feature space, each dimension representing a property of at least a section of a recording of a perceptible content element, such that at least one of the dimensions in the feature space represents a quantifiable property of at least a section of a recording of a perceptible content element the audio track, and transmitting the data representative of the user profile (7;

17,19;

29) to a second device arranged to determine, using a similarity metric, whether any of one or more further profiles including a set of one or more parameter values within the feature space match the user profile (7;

17,19;

29), characterised in that

at least one set of at least one parameter value quantifying a dimension of the feature space in the user profile (7;

17,19;

29) is obtained by applying a pre-determined analysis algorithm to at least one signal representing at least a section of a recording of at least one perceptible content element in the set of audio tracks.

9. Method according to claim 8 wherein the user profile (7;

17,19;

29) is obtained by applying a method of generating a user profile (7;

17,19;

29) of a user of a device (14,15;

23-26) for processing data representative of items of content, a respective recoding of at least one perceptible content element being associated with each item of content, including

determining a set (3) containing a plurality of recordings of at least one perceptible content element, each associated with one of a plurality of items of content associated with the user, and

generating data representative of a user profile (7;

17,19;

29) indicating preferences of the user, wherein the data representative of the user profile (17;

17,19;

29) includes one or more parameter values within an at least one-dimensional feature space, each dimension representing a property of at least a section of a recording of a perceptible content element, such that at least one of the dimensions in the feature space represents a quantifiable property of at least a section of a recording of a perceptible content element, characterised in that

at least one set of parameter values, each set containing at least one parameter value and quantifying a dimension of the feature space in the user profile (7;

17,19;

29), is obtained by applying a pre-determined analysis algorithm to each of a plurality of signals, each signal representing at least a section of a recording of at least one perceptible content element, such that the set of parameter values is based on a plurality of the recordings in the set of recordings.

12. Method of filtering a user profile according to claim 8, wherein the further profiles are formed by further user profiles (37), each expressing the preferences of a further user of a device (22-26) for processing data representative of items (30) of content having respective audio tracks associated with them, including identifying further users having a further user profile (37) matching the user profile (29).

13. Method according to claim 12, including, for each further user having a further user profile (37) matching the user profile (29), retrieving a list (39) of content items selected by that further user, and

generating a list of recommended content items for the user, wherein the recommended content items are selected from the retrieved lists (39) of content items.

15. System for filtering a user profile, configured to execute a method according to claim 8.

11. Method of filtering a user profile (7;

17,19;

29) expressing preferences of a user of a device (14,15;

23-26) for processing data representative of items of content having respective recordings of at least one perceptible content element associated with them, wherein

a second device (14,15;

23-27) receives from the device (14,15;

23-26) through a data link (16;

28) data representative of a user profile (7;

17,19;

29) indicating preferences of the user, wherein the data representative of the user profile (7;

17,19;

29) includes one or more parameter values within an at least one-dimensional feature space, each dimension representing a property of at least a section of a recording of a perceptible content element, wherein at least one of the dimensions in the feature space represents a quantifiable property of at least a section of a recording of a perceptible content element, and wherein

the second device retrieves one or more further profiles (19;

37) including a set of one or more parameter values within the feature space and determines, using a similarity metric, whether any of the retrieved profiles matches the user profile, characterised in that

the second device (14,15;

23-27) receives and determines whether any of the retrieved profiles matches a user profile in which at least one of the parameter values is obtainable by applying a pre-determined analysis algorithm to at least one signal representing at least a section of a recording in the set of recordings.