System and method for user behavior modeling
Disclosed herein are systems, methods, and computer readable-media for contextual adaptive advertising. The method for contextual adaptive advertising comprises tracking user behavior across multiple modalities or devices, storing one or more representations of user behavior in a log as descriptors, normalizing the descriptors, merging the normalized descriptors into a unified click or interactive stream, and generating a behavioral model by analyzing the click or interactive stream.
1. A method comprising:
tracking user behavior across multiple modalities for interacting with a device;
storing representations of the user behavior in a log as descriptors, each descriptor associated with a modality, the descriptors comprising a first descriptor associated with a first modality and a second descriptor associated with a second modality, wherein the first modality and the second modality are distinct modalities;
normalizing the descriptors, wherein the first descriptor and the second descriptor are normalized based on: (1) the first modality, (2) the second modality, (3) the device, and (4) a format associated with the device, to yield normalized descriptors;
merging the normalized descriptors into a unified click stream;
generating a behavioral model by analyzing the unified click stream; and
upon receiving user input associated with modifying a presentation of search results associated with a search, dynamically modifying the presentation by using the behavioral model to generate the search results.
2. The method of claim 1 , wherein normalizing the descriptors comprises abstracting a high-level behavioral concept away from details of a device.
3. The method of claim 1 , wherein the log is stored in one of a local storage device, a network, and in a combination of both the local storage device and the network.
4. The method of claim 1 , wherein the representations of the user behavior comprises one of video content, audio content, buttons pressed on a remote control, buttons pressed on a gamepad, clicks on a mouse, characters typed on a keyboard, IP Multimedia Subsystem traffic, meta-data, haptic input, biometric tracking, and timing, frequency, and location of inputs.
5. The method of claim 1 , wherein the user behavior is filtered according to relevance.
6. The method of claim 1 , further comprising:
extrapolating a contextual most-desired next instantiation by synthesizing and suggesting media content based the behavioral model.
7. The method of claim 1 , wherein the user behavior is in a synthetic environment.
8. The method of claim 1 , wherein modifying the presentation further comprises one of adding new content, editing existing content, and preventing certain content from being displayed.
9. The method of claim 1 , wherein the presentation further comprises a web page modified to provide user-dependent links based on the behavioral model.
10. The method of claim 1 , further comprising receiving a user selection indicating which portion of the behavioral model to incorporate into the search.
11. The method of claim 1 , further comprising receiving a user selection indicating a weight to assign the behavioral model in a search algorithm.
12. The method of claim 1 , further comprising receiving a user selection indicating alteration of one of the descriptors and the click stream to generate a new behavioral model.
13. The method of claim 1 , wherein multiple users' behavior is tracked as a group.
14. The method of claim 1 , wherein the behavioral model is updated by pruning unneeded descriptors.
15. A system comprising:
a processor; and
a computer-readable storage medium having instructions stored which, when executed by the processor, perform operations comprising:
tracking user behavior across multiple modalities for interacting with a device;
storing representations of the user behavior in a log as descriptors, each descriptor associated with a modality, the descriptors comprising a first descriptor associated with a first modality and a second descriptor associated with a second modality, wherein the first modality and the second modality are distinct modalities;
normalizing the descriptors, wherein the first descriptor and the second descriptor are normalized based on: (1) the first modality, (2) the second modality, (3) the device, and (4) a format associated with the device, to yield normalized descriptors;
merging the normalized descriptors into a unified click stream;
generating a behavioral model by analyzing the unified click stream; and
upon receiving user input associated with modifying a presentation of search results associated with a search, dynamically modifying the presentation by using the behavioral model to generate the search results.
16. The system of claim 15 , wherein normalizing the descriptors comprises abstracting a high-level behavioral concept away from details of a device.
17. The system of claim 15 , wherein the log is stored in one of a local storage device, a network, and in a combination of both the local storage device and the network.
18. The system of claim 15 , wherein the representations of the user behavior comprises one of video content, audio content, buttons pressed on a remote control, buttons pressed on a gamepad, clicks on a mouse, characters typed on a keyboard, IP Multimedia Subsystem traffic, meta-data, haptic input, biometric tracking, and timing, frequency, and location of inputs.
19. The system of claim 15 , wherein the user behavior is filtered according to relevance.
20. The system of claim 15 , the computer-readable storage medium having additional instructions stored which result in the operations further comprising:
extrapolating a contextual most-desired next instantiation by synthesizing and suggesting media content based the behavioral model.
21. The system of claim 15 , wherein the user behavior is in a synthetic environment.
22. The system of claim 15 , wherein modifying the presentation further comprises one of adding new content, editing existing content, and preventing certain content from being displayed.
23. The system of claim 15 , wherein the presentation further comprises a web page modified to provide user-dependent links based on the behavioral model.
24. The system of claim 15 , the computer-readable storage medium having additional instructions stored which result in the operations further comprising receiving a user selection indicating which portion of the behavioral model to incorporate into the search.
25. The system of claim 15 , the computer-readable storage medium having additional instructions stored which result in the operations further comprising receiving a user selection indicating a weight to assign the behavioral model in a search algorithm.
26. The system of claim 15 , the computer-readable storage medium having additional instructions stored which result in the operations further comprising receiving a user selection indicating alteration of one of the descriptors and the click stream to generate a new behavioral model.
27. The system of claim 15 , wherein multiple users' behavior is tracked as a group.
28. The system of claim 15 , wherein the behavioral model is updated by pruning unneeded descriptors.
29. A computer-readable storage device having instructions stored which, when executed on a computing device, cause the computing device to perform operations comprising:
tracking user behavior across multiple modalities for interacting with a device;
storing representations of the user behavior in a log as descriptors, each descriptor associated with a modality, the descriptors comprising a first descriptor associated with a first modality and a second descriptor associated with a second modality, wherein the first modality and the second modality are distinct modalities;
normalizing the descriptors, wherein the first descriptor and the second descriptor are normalized based on: (1) the first modality, (2) the second modality, (3) the device, and (4) a format associated with the device, to yield normalized descriptors;
merging the normalized descriptors into a unified click stream;
generating a behavioral model by analyzing the unified click stream; and
upon receiving user input associated with modifying a presentation of search results associated with a search, dynamically modifying the presentation by using the behavioral model to generate the search results.
30. The computer-readable storage device of claim 29 , wherein normalizing the descriptors comprises abstracting a high-level behavioral concept away from details of a device.
31. The computer-readable storage device of claim 29 , wherein the log is stored in one of a local storage device, a network, and in a combination of both the local storage device and the network.
32. The computer-readable storage device of claim 29 , wherein representations of user behavior comprises one of video content, audio content, buttons pressed on a remote control, buttons pressed on a gamepad, clicks on a mouse, characters typed on a keyboard, IP Multimedia Subsystem traffic, meta-data, haptic input, biometric tracking, and timing, frequency, and location of inputs.
33. The computer-readable storage device of claim 29 , wherein user behavior is filtered according to relevance.
34. The computer-readable storage device of claim 29 , the computer-readable storage device having additional instructions stored which result in the operations further comprising:
extrapolating a contextual most-desired next instantiation by synthesizing and suggesting media content based the behavioral model.
35. The computer-readable storage device of claim 29 , wherein the user behavior is in a synthetic environment.
36. The computer-readable storage device of claim 29 , wherein modifying the presentation further comprises one of adding new content, editing existing content, and preventing certain content from being displayed.
37. The computer-readable storage device of claim 29 , wherein the presentation further comprises a web page modified to provide user-dependent links based on the behavioral model.
38. The computer-readable storage device of claim 29 , the computer-readable storage device having additional instructions stored which result in the operations further comprising receiving a user selection indicating which portion of the behavioral model to incorporate into the search.
39. The computer-readable storage device of claim 29 , the computer-readable storage device having additional instructions stored which result in the operations further comprising receiving a user selection indicating a weight to assign the behavioral model in a search algorithm.
40. The computer-readable storage device of claim 29 , the computer-readable storage device having additional instructions stored which result in the operations further comprising receiving a user selection indicating alteration of one of the descriptors the click stream to generate a new behavioral model.
41. The computer-readable storage device of claim 29 , wherein multiple users' behavior is tracked as a group.
42. The computer-readable storage device of claim 29 , wherein the behavioral model is updated by pruning unneeded descriptors.