MATCHING USERS ACROSS INDENTIFIABLE SERVICES VASED ON IMAGES

• US 20150248710A1
• Filed: 05/18/2015
• Published: 09/03/2015
• Est. Priority Date: 02/26/2013
• Status: Abandoned Application

• Current Assignee: Adience Ser Ltd. (Teddy Sagi,)
• Original Assignee: Adience Ser Ltd. (Teddy Sagi,)
• Inventors: MEDVEDOVSKY, Alexander, Nahir, Roee, Eidinger, Eran Hillel
• Application Number:
  US14/714,469
• Publication Number:
  US 20150248710A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: G06Q 30/0275 Auctions
• CPC Class Codes: G06V 20/30 in albums, collections or shared content, e.g. social network photos or video
• CPC Class Codes: G06V 40/179 metadata assisted face recognition
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method for determining that a user associated with a first identifiable device or identifiable service is also associated with a second identifiable device or identifiable service by a) generating one or more first image descriptors for one or more first images stored on the first identifiable service associated with a first user, b) generating one or more second image descriptors for one or more second images stored on the second identifiable service associated with a second user, c) calculating, based on the generated first and second image descriptors, the probability that the first user is also the second user. Also provided is a computer readable storage medium containing program code for implementing the method.

Claims

1. A computer implemented method for determining that a user associated with a first identifiable device or identifiable service is also associated with a second identifiable device or identifiable service comprising:

a) generating one or more first image descriptors for one or more first images stored on the first identifiable service associated with a first user,

b) generating one or more second image descriptors for one or more second images stored on the second identifiable service associated with a second user,

c) calculating, based on said generated first and second image descriptors, the probability that said first user is also said second user.

2. The method of claim 1 wherein the step of calculating said probability comprises:

comparing pairs of first and second image descriptors and calculating similarity scores for each said pair.

3. The method of claim 1 wherein the step of calculating said probability comprises:

inputting said first and second image descriptors and a respective indication of a user associated with said first or second image descriptor to a neural network which calculates a similarity score between said first and second users.

4. A non-transitory computer readable storage medium having computer readable code embodied on the computer readable storage medium, the computer readable code for determining that a user associated with a first identifiable device or identifiable service is also associated with a second identifiable device or identifiable service, the computer readable code comprising:

a) program code for generating one or more first image descriptors for one or more first images stored on the first identifiable service associated with a first user;

b) program code for generating one or more second image descriptors for one or more second images stored on the second identifiable service associated with a second user; and

c) program code for calculating, based on said generated first and second image descriptors, the probability that said first user is also said second user.

5. The medium of claim 4 wherein said program code for calculating said probabilty includes code for:

comparing pairs of first and second image descriptors and calculating similarity scores for each said pair

6. The medium of claim 4 wherein said program code for calculating said probabilty includes code for:

inputting said first and second image descriptors and a respective indication of a user associated with said first or second image descriptor to a neural network which calculates a similarity score between said first and second users.