Method and apparatus for associating user engagement data received from a user with portions of a webpage visited by the user

• US 10,163,118 B2
• Filed: 02/18/2015
• Issued: 12/25/2018
• Est. Priority Date: 02/18/2015
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Dhawan, Anmol, Yadav, Vikas, Duggal, Ashish, Soni, Sachin
• Primary Examiner(s): Mansfield, Thomas L
• Application Number:
  US14/624,956
• Publication Number:
  US 20160239856A1
• Time in Patent Office: 1,406 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls

Abstract

A method for associating user engagement data with various features of a product associated with a webpage is provided. The method includes detecting a visit to a portion of the webpage by a user. The webpage includes features of the product. A feature from the portion of the webpage is then determined using keyword of the feature. The portion includes the keyword of the feature. A user engagement input is then received for entire webpage from the first user. The webpage includes only one user interface option to provide the user engagement input of a particular type, at an instance, for entire webpage. The user engagement input is associated with the feature and not associated with other features on the webpage. A report indicating association of the user engagement input with the feature and non-association of the user engagement input with other features on the webpage is then generated.

Claims

1. A method for associating user engagement data with various features of a product described on a webpage, the method comprising:

detecting, by at least one processor, a visit by a user to a webpage, the webpage comprising a user interface option by which the user can provide user engagement input, and further comprising a plurality of features of a product, each of the plurality of features indicated by a description comprising one or more keywords;

determining coordinates of a portion of the webpage visited by the user and that the user visited for at least a threshold period of time;

analyzing, based on determining that the user visited the portion of the webpage for at least the threshold period of time, the visited portion of the webpage using the at least one processor to identify a feature of the product from within the plurality of features indicated by keywords identified within the visited portion of the webpage;

receiving, by way of the user interface option, a user engagement input for the webpage;

determining a type of the user engagement input;

associating, based on the type of the user engagement input, a value with the feature identified from the visited portion of the webpage; and

generating a report indicating association of the user engagement input with the identified feature.

2. The method of claim 1, wherein the type of the user engagement input comprises at least one of a like input, a share input, a rating input, or a comment input.

3. The method of claim 2, wherein the type of the user engagement input comprises a comment input, the method further comprising:

determining that the comment input does not comprise a keyword corresponding to the identified feature of the product;

determining, based on the determination that the comment input does not comprise a keyword corresponding to the identified feature, a sentiment score of the comment input; and

associating the sentiment score with the identified feature of the product.

4. The method of claim 2, wherein the type of the user engagement input comprises a comment input, the method further comprising:

determining that the comment input comprises at least one keyword corresponding to the identified feature of the product;

determining, based on the determination that the comment input comprises at least one keyword corresponding to the identified feature, a sentiment score of the at least one keyword corresponding to the determined feature of the product; and

associating the sentiment score with the identified feature of the product.

5. The method of claim 4, wherein the type of the user engagement input further comprises a rating input, the method further comprising:

associating the rating input with the determined feature of the product based on;

the sentiment score of the at least one keyword corresponding to the identified feature, and

an average of sentiment scores of every other feature of the product associated with any other keywords mentioned in the comment input.

6. The method of claim 1, wherein determining the coordinates of the portion of the webpage visited by the user comprises utilizing the at least one processor to track one or more of eye location of the user on the webpage, mouse cursor movement on the webpage, or scrolling behavior of the user on the webpage.

7. The method of claim 6, wherein determining the coordinates of the portion of the webpage visited by the user further comprises embedding script in the webpage to enable receiving the coordinates from a device by which the user views the webpage.

8. The method of claim 1, wherein associating the value with the identified feature comprises incrementing a count of a number of times the type of the user engagement input is received in relation to the identified feature.

9. A system for associating user engagement data with various contents of a webpage, the system comprising:

at least one processor; and

a non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause the system to;

detect a visit by a user to a webpage, the webpage comprising a user interface option by which the user can provide user engagement input, and further comprising a plurality of contents, each content comprising one or more keywords;

determine coordinates of a portion of the webpage visited by the user and that the user visited for at least a threshold period of time;

analyze, based on determining that the user visited the portion of the webpage for at least the threshold period of time, the visited portion of the webpage using the at least one processor to identify a first content from the plurality of contents indicated by keywords within the visited portion of the webpage;

receive, by way of the user interface option, a user engagement input for the entire webpage;

determine a type of the user engagement input; and

associate the user engagement input with the first content; and

refrain from associating the user engagement input with other contents on the webpage.

10. The system of claim 9, wherein the type of the user engagement input comprises at least one of a like input, a share input, a rating input, or a comment input.

11. The system of claim 10, wherein the type of the user engagement input comprises a comment input, the system further comprising instructions that, when executed by the at least one processor, cause the system to:

determine that the comment input does not comprise a keyword corresponding to the first content;

determine, based on the determination that the comment input does not comprise a keyword corresponding to the first content, a sentiment score of the comment input; and

associate the sentiment score with the first content.

12. The system of claim 10, wherein the type of the user engagement input comprises a comment input, the system further comprising instructions that, when executed by the at least one processor, cause the system to:

determine, that the comment input comprises at least one keyword corresponding to the first content;

determine, based on the determination that the comment input comprises at least one keyword corresponding to the first content, a sentiment score of the at least one keyword corresponding to the first content; and

associate the sentiment score with the first content.

13. The system of claim 12, wherein the type of the user engagement input further comprises a rating input, the system further comprising instructions that, when executed by the at least one processor, cause the system to:

associate the rating input with the first content based on;

the sentiment score of the at least one keyword corresponding to the first content, and

and average of sentiment scores of every other content associated with any other keywords mentioned in the comment input.

14. The system of claim 9, wherein the instructions cause the system to determine the coordinates of the portion of the webpage visited by the user by utilizing the at least one processor to track one or more of eye location of the user on the webpage, mouse cursor movement on the webpage, or scrolling behavior of the user on the webpage.

15. The system of claim 14, wherein the instructions cause the system to determine the coordinates of the portion of the webpage visited by the user by further embedding script in the webpage to enable receiving the coordinates from a device by which the user views the webpage.

16. The system of claim 9, wherein the instructions cause the system to associate the user engagement input with the first content by incrementing a count of a number of times the type of the user engagement input is received in relation to the first content.

17. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to generate a report indicating association of the user engagement input with the first content and non-association of the user engagement input with other contents on the webpage.

18. The system of claim 9, wherein the plurality of contents comprises one or more of:

a plurality of features of a product described on the webpage;

or

a plurality of products of a brand described on the webpage.

19. A non-transitory computer readable medium for associating user engagement data with various portions of a webpage, the non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a computer device to:

detect a visit by a first user to a webpage;

determine coordinates of a first portion and a second portion of the webpage visited by the first user and that the first user visited the first portion and the second portion for at least a threshold period of time;

analyze, based on determining that the first user visited the first portion for at least the threshold period of time, the first portion of the webpage to identify a first content, wherein the first content comprises a description of a first feature of a product indicated by a first set of keywords within the first portion;

analyze, based on determining that the first user visited the second portion for at least the threshold period of time, the second portion of the webpage to identify a second content, wherein the second content comprises a description of a second feature of the product indicated by a second set of keywords within the second portion;

receive a first user engagement input for the webpage from the first user via a first user interface option;

associate, based on determining that the first user visited the first portion and the second portion for at least the threshold period of time, the first user engagement input with the first feature of the product and the second feature of the product;

detect, based on the coordinates of the second portion, a visit to the second portion of the webpage by a second user;

analyze, based on determining that the second user visited the second portion for at least the threshold period of time, the second portion of the webpage to identify the second content, wherein the second content comprises the description of the second feature of the product indicated by the second set of keywords within the second portion;

receive a second user engagement input for the webpage from the second user via a second user interface option;

associate, based on determining that the second user visited the second portion for at least the threshold period of time, the second user engagement input with the second feature of the product; and

generate a report indicating association of the first user engagement input with both the first feature of the product and the second feature of the product, and association of the second user engagement input with the second feature of the product.

20. The non-transitory computer readable medium of claim 19, further comprising instructions that, when executed by the at least one processor, cause the computer device to refrain from associating the second user engagement input with the first feature of the product.