Privacy-protected advertising system

• US 7,949,565 B1
• Filed: 06/09/2000
• Issued: 05/24/2011
• Est. Priority Date: 12/03/1998
• Status: Expired due to Fees

• Current Assignee: Prime Research Alliance E, LLC
• Original Assignee: Prime Research Alliance E., Inc.
• Inventors: Eldering, Charles A., Flickinger, Gregory C.
• Primary Examiner(s): Retta, Yehdega
• Application Number:
  US09/591,577
• Time in Patent Office: 4,001 Days
• Field of Search: 705/1, 705/10, 705/14
• US Class Current: 705/14.49
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04H 20/10 Arrangements for replacing or switching information during the broadcast or the distribution
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/25891 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 Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/4662 characterized by learning algorithms
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

Abstract

A database of consumer profiles is generated from multiple sources of information including demographic databases identifying demographic attributes of the consumers and transaction records for the consumers. The transaction records are processed to generate transaction attributes and interests of the consumer. The consumer profiles identify deterministic and probabilistic attributes about the consumer, but do not contain privacy violating information such as raw transaction records. The consumer profiles may be maintained in a plurality of distributed databases. Advertisers generate profiles that identify attributes of an intended target market of the advertisement. The advertisement profiles are in the form of operators that can be applied to the database of consumer profiles to determine applicability of advertisements to the subscribers. The operators may only be applied to or make measurements on certain “observables”. The operators will not be able to obtain private information from the database of consumer profiles.

Claims

1. A computer implemented method of identifying at least one consumer to be the target of an advertisement, the method comprising:

(a) accessing, by a computer, a plurality of consumer transaction records corresponding to a plurality of consumers and accessing demographic information records corresponding to the plurality of consumers;

(b) retrieving heuristic rules that associate consumer transactions with consumer characteristics, wherein said heuristic rules have been pre-defined prior to accessing said plurality of consumer transaction records and wherein said pre-defined heuristic rules have been developed based on at least one psychological or sociological study;

(c) retrieving at least one target consumer characteristic from an advertiser that has been selected at the discretion of the advertiser;

(d) applying said pre-defined heuristic rules to said plurality of consumer transaction records to generate inferred transaction characteristics of the plurality of consumers;

(e) generating, by a computer, inferred consumer characteristics of the plurality of consumers by associating the inferred transaction characteristics with the demographic information records;

(f) selecting at least one target consumer from the plurality of consumers by correlating the inferred consumer characteristics with the at least one target consumer characteristic selected at the discretion of the advertiser; and

(g) transmitting an advertisement associated with the advertiser to the at least one target consumer.

2. The method of claim 1, wherein at least one of the plurality of consumers has more than one consumer characteristic.

3. The method of claim 1, wherein the plurality of consumer transaction records includes purchase transactions for the plurality of consumers.

4. The method of claim 1, wherein the demographic information records are stored in a private consumer demographics database.

5. The method of claim 1, wherein the demographic information records include demographic information associated with geographic locations.

6. The method of claim 1, wherein an individual consumer from said plurality of consumers is identified anonymously.

7. The method of claim 6, wherein the anonymously identified consumer is identified through the use of anonymous transaction profiling.

8. The method of claim 1, wherein the at least one target consumer characteristic includes target demographic characteristics and target purchase characteristics.

9. A computer implemented method of identifying at least one consumer to be the target of an advertisement, the method comprising:

(a) accessing, by a computer, a plurality of consumer transaction records corresponding to a plurality of consumers and accessing demographic information records wherein each demographic information record corresponds to a consumer transaction record;

(b) retrieving heuristic rules that associate consumer transactions with consumer characteristics, wherein said heuristic rules have been pre-defined prior to accessing said plurality of consumer transaction records and wherein said pre-defined heuristic rules have been developed through the application of at least one heuristic process which incorporates at least two types of analysis selected from the group consisting of logic tests, statistical estimates, self-learning, experiments, market studies, human knowledge and experience;

(c) retrieving at least one target consumer characteristic from an advertiser that has been selected at the discretion of the advertiser;

(d) applying said pre-defined heuristic rules to said plurality of consumer transaction records to generate inferred transaction characteristics of the plurality of consumers;

(e) generating, by a computer, inferred consumer characteristics of the plurality of consumers by associating the inferred transaction characteristics with a corresponding demographic information record of the consumer; and

(f) selecting at least one target consumer from the plurality of consumers by correlating the inferred consumer characteristics with the at least one target market characteristic selected at the discretion of the advertiser; and

(g) transmitting an advertisement associated the advertiser to the at least one target consumer.

10. The method of claim 9, wherein the at least one target consumer characteristic includes target demographic characteristics and target purchase characteristics.

11. The method of claim 9, wherein at least one of the plurality of consumers has more than one consumer characteristic.

12. The method of claim 9, wherein the plurality of consumer transaction records includes purchase transactions for the plurality of consumers.

13. The method of claim 9, wherein the demographic information records are stored in a private consumer demographics database.

14. The method of claim 9, wherein the demographic information records include demographic information associated with geographic locations.

15. The method of claim 9, wherein an individual consumer from said plurality of consumers is identified anonymously.