Systems and Methods for Contextual Vocabularies and Customer Segmentation

• US 20150149885A1
• Filed: 11/26/2013
• Published: 05/28/2015
• Est. Priority Date: 01/29/2011
• Status: Active Grant

• Current Assignee: SDL Netherlands BV (RWS Holdings Plc)
• Original Assignee: SDL Netherlands BV (RWS Holdings Plc)
• Inventors: Homer, Ian, Diss, Matthew
• Granted Patent: US 10,061,749 B2
• Time in Patent Office: Days
• US Class Current: 715/234
• CPC Class Codes: A24F 40/50 Control or monitoring
• CPC Class Codes: A24F 40/51 Arrangement of sensors
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9577 Optimising the visualization of content, e.g. distillation of HTML documents
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06F 40/103 Formatting, i.e. changing of presentation of documents automatic justification G06F40/189; automatic line break hyphenation G06F40/191
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: H05B 2203/003 using serpentine layout
• CPC Class Codes: H05B 3/265 the insulating base being an inorganic material, e.g. ceramic H05B3/262 takes precedence

Abstract

Contextual vocabulary and methods of use are provided herein. A method may include obtaining contextual properties for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of ambient information sources, including selection from a plurality of contextual repositories. Also, the method includes calculating a trust level for each of the plurality of customer analytic information sources and each of the plurality of device information databases, and building a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels.

Claims

1. A method for building contextual properties in accordance with a contextual vocabulary using a contextual analysis system comprising a processor and a memory for storing logic, the processor executing the logic to perform the method, comprising:

obtaining contextual information for a plurality of end users and obtaining device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of contextual information sources including customer analytic information sources, the device related information being obtained from a plurality of device information databases;

calculating a trust level for each of the plurality of contextual information sources; and

building contextual properties in accordance with a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels, the contextual vocabulary defining properties of the computing devices and of the end users, the contextual properties being utilized to dynamically format web content for a web page.

2. The method according to claim 1, further comprising generating a plurality of context segment paths for a plurality of end users from context segments determined from the contextual properties, the context segments arranged as a hierarchical representation of device related information and contextual information.

3. The method according to claim 2, wherein the hierarchical representation, with multiple inheritances, includes an ordering of the context segments to optimize discovery of resources for the web content.

4. The method according to claim 2, wherein the context segment path is a string that uniquely defines context segment allocation for a given context, the context segment allocation identifying resources for the web content.

5. The method according to claim 4, wherein the string is a cache key that is capable of being serialized and de-serialized.

6. The method according to claim 4, further comprising selecting a context segment path by comparing customer analytic information of the end user and device related information for the computing device of the end user to a plurality of context segment paths created from the context vocabulary.

7. The method according to claim 1, wherein calculating a trust level for each of the plurality of comprises selecting from contextual repositories such as a device information database, wherein a trust level is indicative of a veracity or accuracy of the device information database.

8. The method according to claim 1, wherein the contextual properties in accordance with a context vocabulary is comprised of a plurality of parameters that each represent context related information having a highest trust level chosen from a plurality of similar device information databases.

9. The method according to claim 1, further comprising determining a customer segmentation for an end user based upon contextual information sources, wherein a customer segmentation is used as a filter for tailoring delivery of content to the end user by a webserver.

10. The method according to claim 1, further comprising storing the contextual information from the plurality of end users and the device related information for the computing devices used by the plurality of end users in a context repository.

11. A system for building a contextual vocabulary, the system comprising:

a processor; and

a memory for storing logic that when executed by the processor causes the system to;

obtain contextual information for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of contextual information sources including customer analytic information sources, the device related information being obtained from a plurality of device information databases;

calculate a trust level for each of a plurality of contextual properties; and

build contextual properties in accordance with a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels, the contextual vocabulary defining properties of the computing devices and of the end users, the contextual properties being utilized to dynamically format web content for a web page.

12. The system according to claim 11, wherein the processor further executes the logic to determine a plurality of context segment paths for a plurality of users from context segments determined from the contextual properties, the context segments arranged as a hierarchical representation of device related information and contextual information.

13. The system according to claim 12, wherein the hierarchical representation, with multiple inheritances, includes an ordering of the context segments to optimize discovery of resources for the web content.

14. The system according to claim 12, wherein the context segment path is a string that uniquely defines context segment allocation for a given context, the context segment allocation identifying resources for the web content.

15. The system according to claim 14, wherein the string is a cache key that is capable of being serialized and de-serialized.

16. The system according to claim 14, wherein the processor further executes the logic to select a context segment path by comparing customer analytic information of the end user and device related information for the computing device of the end user to a plurality of context segment paths created from the context vocabulary.

17. The system according to claim 11, wherein the calculation of a trust level for each of the plurality of contextual information sources comprises selecting from contextual repositories such as a device information database, wherein a trust level is indicative of a veracity or accuracy of the device information database.

18. The system according to claim 11, wherein the contextual properties in accordance with a context vocabulary is comprised of a plurality of parameters that each represent context related information having a highest trust level chosen from a plurality of similar device information databases.

19. The system according to claim 11, wherein the processor further executes the logic to determine a customer segmentation for an end user based upon contextual information sources, wherein a customer segmentation is used as a filter for tailoring delivery of content to the end user by a webserver.

20. The system according to claim 11, wherein the processor further executes the logic to storing the contextual information from the plurality of end users and the device related information for the computing devices used by the plurality of end users in a context repository.

21. A method for building contextual properties in accordance with a contextual vocabulary using a contextual analysis system comprising a processor and a memory for storing logic, the processor executing the logic to perform the method, comprising:

determining context properties, in accordance with a defined contextual vocabulary, from ambient information sources based upon their respective trust levels;

generating a contextual segment path for an end user during a interaction in an application;

transmitting the context segment path as a string to other sub-systems via local or remote API method calls; and

transmitting the context properties from the plurality of end users and plurality of devices to other sub-systems.