Personalization engine for building a user profile

• US 9,268,843 B2
• Filed: 06/30/2010
• Issued: 02/23/2016
• Est. Priority Date: 06/27/2008
• Status: Active Grant

• Current Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Original Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Inventors: Pradhan, Tushar, Cordeiro, Mark
• Primary Examiner(s): TRAN, ANHTAI V
• Application Number:
  US12/827,427
• Publication Number:
  US 20110106829A1
• Time in Patent Office: 2,064 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

User profiles are created based on taxonomic nouns related to documents accessed by the user. The profiles can be leveraged to create lists, such as mailing lists and lead lists, to target content, such as offers, to persons most likely to be interested in the content. A database of the profiles is queried based on nouns describing content to be promoted. The profiles that satisfy the query are used to generate a list. The invention can be used to create any type of list, such as mailing lists, lead lists, lists of related content, lists of related users, lists of categorized content, and the like.

Claims

1. A computer-implemented method for generating a targeted list of entities interested in content of interest, the method comprising:

receiving, by a computing device, a set of nouns characterizing content of interest, wherein at least one of the nouns characterizes the subject matter of the content of interest;

creating a query based on the set of nouns;

querying a database with the query, the database being stored on computer readable media and having stored therein profiles including taxonomic nouns derived from user access to content, the profiles being created by;

a) assigning a set of taxonomic nouns based upon author-generated classification information of content accessed by a user;

b) assigning a set of taxonomic nouns based upon user-generated tag characterization of a content accessed by a user;

c) assigning a set of taxonomic nouns based on a search term that resulted in a user accessing content;

d) assigning a set of taxonomic nouns based upon attributes related to the manner in which a user accessed content; and

e) assigning a set of taxonomic nouns based upon a predetermined pattern rule applied to content accessed by a user;

identifying, by a computing device, one or more matching profiles stored in the database that satisfy the query, at least one of the one or more matching profiles including one or more taxonomic nouns that match at least one of the nouns in the set of nouns characterizing the content of interest, and at least one of the one or more taxonomic nouns being based on a user-generated tag, generated by a user, that characterizes at least a portion of an item of content, the item of content having been accessed by the user that generated the user-generated tag; and

creating a list of users associated with the matching profiles, the list including at least one user associated with a user profile that includes at least one of the one or more taxonomic nouns that is based on the user-generated tag characterizing the at least one item of content.

2. The method of claim 1, further comprising:

determining the number of profiles in the database matching the query;

determining a set of related nouns that are related to the nouns characterizing content of interest;

deciding whether or not to use the related nouns to expand the query based on the desired size of the list; and

if it is decided to expand the list, expanding the query based on at least some of the related nouns and determining matching profiles that satisfy the expanded query.

3. The method of claim 1, wherein the attributes related to the manner in which the user accessed content include at least one of a network type used to access the document, a Web site from which the content was accessed, an electronic correspondence to which the document was associated, a time of day the content was accessed, a referrer who directed the user to the content, and a content category used by a repository storing the content to describe the content.

4. The method of claim 1, wherein the attributes related to the manner in which the user accessed the content include a click rate indicating a level of a user'"'"'s relative interest in the content in relation to other content available to the user.

5. The method of claim 1, further comprising sending an offer related to the content to be promoted to persons associated with profiles in the list of profiles.

6. The method of claim 1, wherein the list includes contact information of users corresponding to profiles in the list.

7. A computer system for generating a targeted list of entities interested in content of interest, the system comprising:

a processor; and

a memory operatively coupled to the processor and containing instructions that, when executed by the processor, cause the processor to carry out the steps of;

receiving a set of nouns characterizing content of interest, wherein at least one of the nouns characterizes the subject matter of the content of interest;

creating a query based on the set of nouns;

querying a database with the query, the database being stored on computer readable media and having stored therein profiles including taxonomic nouns derived from user access to content, the profiles being created by;

a) assigning a set of taxonomic nouns based upon author-generated classification information of content accessed by a user;

b) assigning a set of taxonomic nouns based upon user-generated tag characterization of a content accessed by a user;

c) assigning a set of taxonomic nouns based on a search term that resulted in a user accessing content;

d) assigning a set of taxonomic nouns based upon attributes related to the manner in which a user accessed content and

e) assigning a set of taxonomic nouns based upon a predetermined pattern rule applied to content accessed by a user;

identifying one or more matching profiles stored in the database that satisfy the query, at least one of the one or more matching profiles including one or more taxonomic nouns that match at least one of the nouns in the set of nouns characterizing the content of interest, and at least one of the one or more taxonomic nouns being based on a user-generated tag, generated by a user, that characterizes at least a portion of an item of content, the item of content having been accessed by the user that generated the user-generated tag; and

creating a list of users associated with the matching profiles, the list including at least one user associated with a user profile that includes at least one of the one or more taxonomic nouns that is based on the user-generated tag characterizing the at least one item of content.

8. The system of claim 7, wherein the instructions, when executed by the processor, further cause the processor to carry out the steps of:

determining the number of profiles in the database matching the query;

determining a set of related nouns that are related to the nouns characterizing content of interest;

deciding whether or not to use the related nouns to expand the query based on the desired size of the list; and

if it is decided to expand the list, expanding the query based on at least some of the related nouns and determining matching profiles that satisfy the expanded query.

9. The system of claim 7, wherein the attributes related to the manner in which the user accessed content include at least one of a network type used to access the document, a Web site from which the content was accessed, an electronic correspondence to which the document was associated, a time of day the content was accessed, a referrer who directed the user to the content, and a content category used by a repository storing the content to describe the content.

10. The system of claim 7, wherein the attributes related to the manner in which the user accessed the content include a click rate indicating a level of a user'"'"'s relative interest in the content in relation to other content available to the user.

11. The system of claim 7, wherein the instructions, when executed by the processor, further cause the processor to carry out the step of sending an offer related to the content to be promoted to persons associated with profiles in the list of profiles.

12. The method of claim 7, wherein the list includes contact information of users corresponding to profiles in the list.

13. Non-transitory computer-readable media having computer-readable instructions recorded thereon, which when executed by a processor cause the processor to implement a method for generating a targeted list of entities interested in content of interest, the method comprising:

receiving, by a computing device, a set of nouns characterizing content of interest, wherein at least one of the nouns characterizes the subject matter of the content of interest;

querying a database with a query based on the set of nouns, the database being stored on computer readable media and having stored therein profiles including taxonomic nouns based on user access to content, the profiles being created by;

a) assigning a set of taxonomic nouns based upon author-generated classification information of content accessed by a user;

b) assigning a set of taxonomic nouns based upon user-generated tag characterization of a content accessed by a user;

c) assigning a set of taxonomic nouns based on a search term that resulted in a user accessing content;

d) assigning a set of taxonomic nouns based upon attributes related to the manner in which a user accessed content; and

e) assigning a set of taxonomic nouns based upon a predetermined pattern rule applied to content accessed by a user;

identifying, by a computing device, one or more matching profiles stored in the database that satisfy the query, at least one of the one or more matching profiles including one or more taxonomic nouns that match at least one of the nouns in the set of nouns characterizing the content of interest, and at least one of the one or more taxonomic nouns being based on a user-generated tag, generated by a user, that characterizes at least a portion of an item of content, the item of content having been accessed by the user that generated the user-generated tag; and

creating a list of users associated with the matching profiles, the list including at least one user associated with a user profile that includes at least one of the one or more taxonomic nouns that is based on the user-generated tag characterizing the at least one item of content.

14. The non-transitory computer-readable media of claim 13, wherein the method further comprises:

determining the number of profiles in the database matching the query;

determining a set of related nouns that are related to the nouns characterizing content of interest;

deciding whether or not to use the related nouns to expand the query based on the desired size of the list; and

if it is decided to expand the list, expanding the query based on at least some of the related nouns and determining matching profiles that satisfy the expanded query.

15. The non-transitory computer-readable media of claim 13, wherein the attributes related to the manner in which the user accessed content include at least one of a network type used to access the document, a Web site from which the content was accessed, an electronic correspondence to which the document was associated, a time of day the content was accessed, a referrer who directed the user to the content, and a content category used by a repository storing the content to describe the content.

16. The non-transitory computer-readable media of claim 13, wherein the attributes related to the manner in which the user accessed the content include a click rate indicating a level of a user'"'"'s relative interest in the content in relation to other content available to the user.

17. The non-transitory computer-readable media of claim 13, wherein the method further comprises sending an offer related to the content to be promoted to persons associated with profiles in the list of profiles.

18. The non-transitory computer-readable media of claim 13, wherein the list includes contact information of users corresponding to profiles in the list.