Content recommendation method and device

Patent metadata

Field	Value
Publication number	US-2016337696-A1
Application number	US-201415111943-A
Country	US
Kind code	A1
Filing date	May 2, 2014
Priority date	Feb 7, 2014
Publication date	Nov 17, 2016
Grant date	—

Abstract

A content recommendation method and device for recommending content to a user are disclosed. According to one embodiment, the content recommendation device extracts the features of a user from image data, audio data and the like, and can determine a recognition rate indicating the degree that is recognized as a user model predetermined according to the features of the user. The content recommendation device can determine the recommended content to be provided to the user on the basis of the determined recognition rate.

First claim

1 . A method of recommending contents, the method comprising:
extracting user features of a user from at least one of image data and audio data; determining, for each of the user features, a recognition rate indicating a degree to which the user is recognized as a first user model; and determining recommendation contents to be provided to the user based on the recognition rate.

2 . The method of claim 1 , wherein the determining of the recommendation contents comprises:
determining a user model corresponding to the user based on,
a first threshold,
a second threshold greater than the first threshold, and
the recognition rates determined for the user features; and
determining preference contents of the determined user model to be the recommendation contents to be provided to the user.

3 . The method of claim 2 , wherein the determining of the user model includes:
determining a weight for each of the user features; determining a final recognition rate for each user model based on the recognition rates determined for the user features and the weights determined for of the user features; and determining a user model having a greatest final recognition rate among the final recognition rates determined for the user models to be the user model corresponding to the user.

4 . The method of claim 3 , wherein the weight is determined based on at least one of,
a distance from a camera to the user, or a duration of the determining of the user model.

5 . The method of claim 2 , wherein the determining of the user model includes:
determining a weight for each of the user features; identifying, with respect to each of the user features, a user model having a recognition rate greater than or equal to the second threshold; determining, for each of the user features, a corresponding user model group such that,
for each user feature, the user model group corresponding to the user feature includes models, from among the user models, that have a recognition rate greater than the first threshold and less than the second threshold; and
determining the user model corresponding to the user based on,
the user models identified with respect to the user features,
the user model groups determined for the user features, and
the weights determined for the user features.

6 . The method of claim 2 , further comprising:
displaying the recommendation contents based on a preference of the user model.

7 . The method of claim 1 , wherein the determining of the recommendation contents comprises:
determining, for each of the user features, one or more user models having a recognition rate included in a range between a first threshold and a second threshold greater than the first threshold; and determining the recommendation contents to be preference contents that are common between the one or more user modules determined for each of the user features, when no user model is determined to have a recognition rate greater than the second threshold.

8 . The method of claim 1 , wherein the determining of the preference contents includes:
determining, for each of the user features, one or more user models having a recognition rate included in a range between a first threshold and a second threshold greater than the first threshold; determining preference contents that are common between the one or more user modules determined for each of the user features, when no user model is determined to have a recognition rate greater than the second threshold; outputting a selection request message requesting selection of one of the preference contents that are common between the one or more user modules determined for each of the user features, determining the user model corresponding to the user based on a selection response message responding to the selection request message and determining preference contents of the determined user model as the recommendation contents to be provided to the user.

9 . The method of claim 1 , wherein the user features include at least one of a face, a hairstyle, a height, a body type, a gait, a gender, a complexion, a voice, a sound of footsteps, or clothing of the user.

10 . A non-transitory computer-readable medium comprising a program for instructing a computer to perform the method of claim 1 .

11 . A method of recommending contents, the method comprising:
detecting a presence of a new user based on image data acquired by a camera; determining preference contents for the new user when the new user is present; and providing information on the determined preference contents.

12 . The method of claim 11 , wherein the determining of the preference contents includes:
extracting a user feature of the new user; determining a user model or a user model group corresponding to the new user based on the extracted user feature; and determining the preference contents for the new user based on preference contents of the user model or common preference contents of the user model group.

13 . The method of claim 11 , wherein the providing of the information on the preference contents includes displaying the information using a popup window or playing the preference contents on a portion of a screen.

14 . The method of claim 11 , wherein when the preference contents are played on a portion of a screen, the providing of the information on the preference contents includes determining a transparency of the preference contents based on a recognition degree of the new user.

15 . The method of claim 11 , further comprising:
suspending playing of current contents and playing the preference contents when a selection request for the preference contents is received.

16 . A method of recommending contents, the method comprising:
detecting an absence of one of a plurality of current users based on image data acquired by a camera; determining preference contents for remaining users of the plurality of current users, excluding the current user, when the absence is detected; and providing information on the determined preference contents.

17 . The method of claim 16 , wherein the determining of the preference contents comprises:
determining the preference contents for the remaining users based on common preference contents of a user model group or preference contents of a user model corresponding to the remaining users.

18 . The method of claim 16 , wherein the providing of the information on the preference contents comprises:
displaying the information on the preference contents using a popup window or playing the preference contents on a portion of a screen.

19 . The method of claim 16 , wherein the providing of the information on the preference contents includes determining a transparency of the preference contents based on a recognition degree of the remaining users, when the preference contents are played on a portion of a screen.

20 . The method of claim 16 , further comprising:
suspending playing of current contents and playing the preference contents when a selection request for the preference contents is received.

Assignees

• Samsung Electronics Co Ltd

Inventors

• Lee Chang Kyo
• Yoo Byung In
• Han Seung Ju
• Han Jae Joon

Classifications

• H04N21/25875

  involving end-user authentication (restricting access to computer systems by authenticating users using a predetermined code G06F21/33; arrangements for secret or secure communication including means for verifying the identity or authority of a user of the system H04L9/32; networks authentication protocols H04L63/08; authentication in wireless network security H04W12/06) · CPC title

• H04N21/475

  End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data · CPC title

• H04N21/25891

  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 title

• H04N21/25

  Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies {(maintenance or administration in data networks H04L41/00)} · CPC title

• G06F3/14

  Digital output to display device {; Cooperation and interconnection of the display device with other functional units} · CPC title