Systems and methods for managing profiles

• US 9,232,017 B2
• Filed: 05/21/2013
• Issued: 01/05/2016
• Est. Priority Date: 11/25/2010
• Status: Active Grant

• Current Assignee: Rakuten Kobo Inc. (Rakuten Group, Inc.)
• Original Assignee: Rakuten Kobo Inc. (Rakuten Group, Inc.)
• Inventors: Leibu, Daniel, Gambien, Jason, Wu, James, Serbinis, Michael, Hilborn, Pamela, Penner, Richard, Toh, Tai, Galperin, Dan, O'Donoghue, Tony
• Primary Examiner(s): Hu, Jensen
• Application Number:
  US13/899,016
• Publication Number:
  US 20130254683A1
• Time in Patent Office: 959 Days
• Field of Search: 707/736
• US Class Current: 1/1
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F
• CPC Class Codes: H04L 67/306 User profiles

Abstract

Methods and systems for managing profiles for electronic content. The methods and systems may involve profiles for a plurality of electronic content items. If a user interaction with an electronic content item of the plurality of electronic content items meets an event definition, the user interaction may be identified as an event associated with the electronic content and recorded in the profile.

Claims

1. A method of managing profiles for electronic publications comprising:

identifying a user interaction with a page of an electronic publication as an event when the user interaction meets an event definition, wherein the event is associated with the page of the electronic publication, wherein the identifying step is carried out using a processor;

collecting event data corresponding to the event associated with the page of the electronic publication, wherein the event data comprises a pagestamp, wherein the pagestamp corresponds to the page of the electronic publication;

recording the event data as a new data entry in a profile corresponding to the electronic publication, wherein the profile of the electronic publication comprises a plurality of data entries, wherein at least two data entries of the plurality of data entries are associated with different respective events;

computing a score for each page of the electronic publication by correlating the plurality of data entries in the profile of the electronic publication based on the pagestamp of each data entry; and

displaying a visual indicator representing the score associated with a displayed page of the electronic publication.

2. The method of claim 1, further comprising displaying an overlay window comprising at least a portion of the plurality of data entries recorded in the profile for the electronic publication, wherein the portion of the plurality of data entries is selected based on the pagestamp of each data entry of the portion of the plurality of data entries.

3. The method of claim 1, wherein the plurality of event definitions comprise one or more members of the group consisting of:

turning to the page, turning the page, commenting on the page, highlighting a portion of the page, annotating at least a portion of the page, sharing at least a portion of the page, bookmarking the page, indicating a like or dislike of a comment, replying to a comment, indicating a like or dislike to a reply to a comment, adding the electronic publication to an electronic library, finishing the page of the electronic publication, finishing the electronic publication, reading the electronic publication in a location, reading about a location on the page, and reading about a character on the page.

4. The method of claim 1, wherein computing the score for the page comprises computing a plurality of data points for the page and aggregating the plurality of data points, wherein each data point of the plurality of data points is a numerical value representing at least a frequency of each event associated with the page of the electronic publication and each data point is generated from correlating the plurality of data entries.

5. The method of claim 4, wherein each data point of the plurality of data points is associated with a weight factor and wherein computing the score comprises weighting each data point using the corresponding weight factor.

6. The method of claim 4, wherein the data points comprise one or more members of the group consisting of:

number of purchases of the electronic publication, a number of completions of the electronic publication, a number of times users read the electronic publication or the page, average time to read the electronic publication or the page, average time left to complete the electronic publication or the page, reading rate, share rate, annotation rate, highlight rate, comment rate, comment rate compared to annotation rate, bookmark rate, like or dislike ratio;

like or dislike to comment ratio, random noise range, number of users of the electronic publication and page thereof.

7. The method of claim 2, wherein the portion of the data entries of the overlay comprise one or more members of the group consisting of;

number of purchases of the electronic publication, a number of completions of the electronic publication, a number of times users read the electronic publication or the page, average time to read the electronic publication or the page, average time left to complete the electronic publication or the page, reading rate, share rate, annotation rate, highlight rate, comment rate, comment rate compared to annotation rate, bookmark rate, like or dislike ratio;

like or dislike to comment ratio, random noise range, number of users of the electronic publication and page thereof.

8. The method of claim 1, further comprising computing a score for the electronic publication using the data entries recorded in the profile of the electronic publication, wherein the score for the electronic publication provides an indication of a level of user interest in the electronic publication.

9. The method of claim 1, further comprising providing a mechanism for collecting the event data, wherein the step of collecting the event data involves using the mechanism.

10. The method of claim 2, further comprising providing a mechanism for triggering the display of the overlay, wherein the step of displaying the overlay involves using the mechanism.

11. The method of claim 2, further comprising:

collecting statistical data about a plurality of user interactions with the page of the electronic publication;

calculating the score associated with the page within the electronic publication using the statistical data, wherein the score represents a level of user interest in the page of the electronic publication; and

wherein the overlay comprises at least a portion of the statistical data.

12. The method of claim 1, wherein collecting event data further comprises receiving a time period associated with the event.

13. The method of claim 1, wherein collecting event data further comprises receiving content from the at least one electronic publication.

14. The method of claim 1, wherein collecting event data further comprises receiving a location of at least one device configured to access the electronic publication.

23. The method of claim 1, wherein displaying the visual indicator representing the score associated with the displayed page of the electronic publication comprises:

generate a relative factor from comparing the score associated with the displayed page with at least one other score associated with the electronic publication, wherein the relative factor represents the score relative to the at least one other score; and

generating the visual indicator for representing the score based on the relative factor.

15. A system of managing profiles for electronic publications comprising:

an event detection module configured to;

identify a user interaction with a page of an electronic publication as an event when the user interaction meets an event definition, wherein the event is associated with the page of the electronic publication, wherein the identifying step is carried out using a processor;

collect event data corresponding to the event associated with the page of the electronic publication, wherein the event data comprises a pagestamp, wherein the pagestamp corresponds to the page of the electronic publication;

a profile module configured to record the event data as a new data entry in a profile corresponding to the electronic publication, wherein the profile of the electronic publication comprises a plurality of data entries, wherein at least two data entries of the plurality of data entries are associated with different respective events;

an event analytics engine configured to use a processor to compute a score for each page of the electronic publication by correlating the plurality of data entries in the profile of the electronic publication based on the pagestamp of each data entry;

wherein the profile module is further to configured to display a visual indicator representing the score associated with a displayed page of the electronic publication.

16. The system of claim 15, wherein the profile module is further to configured to display an overlay window comprising at least a portion data entries recorded in the profile for the electronic publication, wherein the portion of the plurality of data entries is selected based on the pagestamp of each data entry of the portion of the plurality of data entries.

17. The system of claim 15, wherein the plurality of event definitions comprise one or more members of the group consisting of:

turning to the page, turning the page, commenting on the page, highlighting a portion of the page, annotating at least a portion of the page, sharing at least a portion of the page, bookmarking the page, indicating a like or dislike of a comment, replying to a comment, and indicating a like or dislike to a reply to a comment, adding the electronic publication to an electronic library, finishing the page of the electronic publication, finishing the electronic publication reading the electronic publication in a location, reading about a location on the page, and reading about a character on the page.

18. The system of claim 15, wherein the event analytics engine is operable to compute the score for the page by computing a plurality of data points for the page and aggregating the plurality of data points, wherein each data point of the plurality of data points is a numerical value representing at least a frequency of each event associated with the page of the electronic publication and each data point is generated from correlating the plurality of data entries.

19. The system of claim 18, wherein each data point of the plurality of data points is associated with a weight factor and wherein computing the score comprises weighting each data point using the corresponding weight factor and aggregating the weighted data points.

20. The system of claim 18, wherein the data points comprise one or more members of the group consisting of:

number of purchases of the electronic publication, a number of completions of the electronic publication, a number of times users read the electronic publication or the page, average time to read the electronic publication or the page, reading rate, share rate, annotation rate, highlight rate, comment rate, comment rate compared to annotation rate, bookmark rate, like or dislike ratio;

like or dislike to comment ratio, random noise range, number of users of the electronic publication and page thereof.

21. The system of claim 16, wherein the portion of the plurality of data entries of the overlay comprise one or more members of the group consisting of:

number of purchases of the electronic publication, a number of completions of the electronic publication, a number of times users read the electronic publication or the page, average time to read the electronic publication or the page, average time left to complete the electronic publication or the page, reading rate, share rate, annotation rate, highlight rate, comment rate, comment rate compared to annotation rate, bookmark rate, like or dislike ratio;

like or dislike to comment ratio, random noise range, number of users of the electronic publication and page thereof.

22. The system of claim 16, wherein the event detection engine is operable to collect statistical data about a plurality of user interactions with the page of the electronic publication;

calculate the score associated with the page within the electronic publication using the statistical data, wherein the score represents a level of user interest in the page of the electronic publication; and

wherein the overlay comprises at least a portion of the statistical data.