PRIVACY PROTECTION IN RECOMMENDATION SERVICES

• US 20140223575A1
• Filed: 04/17/2012
• Published: 08/07/2014
• Est. Priority Date: 04/25/2011
• Status: Abandoned Application

• Current Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Original Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Inventors: Aghasaryan, Armen, Bouzid, Makram, Nandi, Animesh
• Application Number:
  US14/113,936
• Publication Number:
  US 20140223575A1
• Time in Patent Office: Days
• US Class Current: 726/27
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: H04L 63/0421 Anonymous communication, i.e. the party's identifiers are hidden from the other party or parties, e.g. using an anonymizer
• CPC Class Codes: H04L 63/104 Grouping of entities
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/4755 for defining user preferences, e.g. favourite actors or genre retrieval personalisation and generation of user profiles for the retrieval of video data G06F16/739; user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04W 12/02 Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
• CPC Class Codes: H04W 12/76 Group identity
• CPC Class Codes: H04W 4/08 User group management
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

The present subject matter discloses a system and a method for privacy protection to protect the confidential and personal information of end users using a client device (108) to avail services recommended by a service provider (110). In one embodiment, a privacy protection system (102)for recommendation services comprises a processor (202) and a memory (204) coupled to the processor (204). The memory (204) comprises a interest group aggregator module (112) having at least one interest group aggregator, each of the at least one interest group aggregator configured to collate a plurality of segments of profile information pertaining to a plurality of end users categorized in a interest group based on a interest profile of each of the plurality of end users.

Claims

1. A method for privacy protection in recommended services, the method comprising:

aggregating profile information associated with a plurality of interest profiles of one or more end users, wherein the one or more end users are categorized into at least one interest group based on the associated interest profiles;

determining one or more services availed by the at least one interest group; and

receiving recommended services for the at least one interest group based in part on the one or more services.

2. The method as claimed in claim 1 further comprising receiving the profile information associated with the plurality of interest profiles in multiple segments.

3. The method as claimed in claim 1 further comprising receiving the profile information associated with the plurality of interest profiles from at least one client device, wherein the at least one client device sending the profile information is unidentifiable.

4. The method as claimed in claim 1, wherein the receiving further comprises providing the one or more services availed by the at least one interest group to a service provider, wherein the service provider provides the recommended services based on one or more of a content based recommendation technique and a collaborative recommendation technique.

5. The method as claimed in claim 1 further comprising providing anonymously the received recommended services to at least one client device, such that the at least one client device to which the recommended services is provided is unidentifiable.

6. A method for privacy protected recommended services, the method comprising:

determining at least one interest group identity based on an interest profile of an end user, wherein the at least one interest group identity pertains to at least one pre-defined interest group; and

transmitting anonymously profile information associated with the interest profile of the end user to an interest group aggregator module associated with the at least one interest group identity.

7. The method as claimed in claim 6 further comprising generating the interest profile of the end user to ascertain profile information pertaining to the at least one interest group identity.

8. The method as claimed in claim 6 further comprising slicing the profile information of the end user into a plurality of segments.

9. The method as claimed in claim 8, wherein at least one of the plurality of segments is anonymously transmitted over an onion routing path.

10. A privacy protection system for recommendation services comprising:

a processor; and

a memory coupled to the processor, the memory comprising an interest group aggregator module having at least one interest group aggregator, wherein the at least one interest group aggregator configured to,

collate a plurality of segments of profile information pertaining to a plurality of end users categorized in the at least one interest group based on an interest profile of each of the plurality of end users.

11. The privacy protection system as claimed in claim 10 wherein the at least one interest group aggregator is a node in one of a cloud computing and grid computing environment.

12. The privacy protection system as claimed in claim 10 wherein the at least one interest group aggregator is a node pertaining to computing resources of the end user.

13. The privacy protection system as claimed in claim 10 further comprising a classification module configured to determine one or more preferred services for the at least one interest group.

14. The privacy protection system as claimed in claim 13 wherein the classification module is further configured to avail recommended services from a service provider based on the determination.

15. The privacy protection system as claimed in claim 10 further comprising an anonymous data transfer module configured to anonymously transmit recommended data to at least one client device of the plurality of end users.

16. A privacy protection system for recommendation services comprising:

a processor; and

a memory coupled to the processor, the memory comprises an interest group identity computation module configured to, determine at least one interest group id based on an interest profile of an end user of the client device, wherein the at least one interest group id represent at least one pre-defined interest group.

17. The privacy protection system as claimed in claim 16, wherein the interest group identity computation module is further configured to:

generate the interest profile of the end user based on content consumed by the end user; and

segment the interest profile of the end user into a plurality of segments, wherein profile information associated with each of the plurality of segments is transmitted anonymously to a privacy protection middleware system.

18. The privacy protection system as claimed in claim 16 further comprising a local recommendation module configured to:

receive recommended content from a privacy protection middleware system; and

filter the received recommended content based in part on the interest profile of the end user.

19. A computer-readable medium having embodied thereon a computer program for executing a method comprising:

aggregating profile information associated with a plurality of interest profiles of one or more end users, wherein the one or more end users are categorized into at least one interest group based on the associated interest profiles;

determining one or more services availed by the at least one interest group; and

receiving recommended services for the at least one interest group based in part on the one or more availed services.

20. A computer-readable medium having embodied thereon a computer program for executing a method comprising:

determining at least one interest group identity based on an interest profile of an end user, wherein the at least one interest group identity pertains to at least one pre-defined interest group; and

transmitting anonymously profile information associated with the interest profile of the end user to an interest group aggregator module associated with the at least one interest group identity.