Method and system for providing personalized content to a user

Patent metadata

Field	Value
Publication number	US-11546403-B2
Application number	US-201916282335-A
Country	US
Kind code	B2
Filing date	Feb 22, 2019
Priority date	Dec 26, 2018
Publication date	Jan 3, 2023
Grant date	Jan 3, 2023

Abstract

Disclosed herein is a method and system for providing personalized content to a user. The method comprises categorizing original content to be provided to user into a plurality of data packets. The data packets include data of similar domain. The user is categorized into one of plurality of classes and a vocabulary of words suitable for the class is identified. The class is associated with a domain. The system identifies relevant content for the class. Thereafter, the system modifies the original content by either by inserting a new data packet or deleting a data packet. A target content is generated for the class based on vocabulary of words associated with class and modified original content. Thereafter, the target content is provided to the class by incorporating one or more features of a presenter for presenting the target content. The present disclosure enhances user experience by personalizing content for the user.

First claim

What is claimed is:

1. A method of providing personalized content to a user, the method comprising:
categorizing, by a content personalization system, original content to be provided to the user into a plurality of data packets, wherein the original content comprises content related to one or more domains, wherein each of the plurality of data packets comprises data of similar domains;
categorizing, by the content personalization system, the user into a class of a plurality of classes based on one or more parameters associated with the user and identifying a vocabulary of words suitable for the class, wherein each class is associated with a domain of the one or more domains;
identifying, by the content personalization system, a relevant content for the class based on domain of the user in the class, profile of creator creating the original content and the original content;
modifying, by the content personalization system, the original content for the class by performing at least one of inserting a new data packet, obtained based on the relevant content, in the original content and deleting a data packet from the plurality of data packets in the original content, wherein modification is based on comparison between the original content and the relevant content;
generating, by the content personalization system, a target content for the class based on the vocabulary of words associated with the class and modified original content, wherein the vocabulary of words is identified by identifying the class to which the user belongs and identifying the vocabulary of words suitable for the class using a forward classifier realized through a Long Short Term Memory (LSTM), and wherein the vocabulary of words comprises equivalent words and words identified as effective for the class; and
providing, by the content personalization system, the target content to the class by incorporating one or more features of a presenter, selected from one or more presenters, for presenting the target content.

2. The method as claimed in claim 1 , wherein the one or more parameters comprises historical data of the user, previous content effectively provided to the user and profile of the user.

3. The method as claimed in claim 1 , wherein one or more features of the one or more presenters are extracted using one or more sensors comprising image sensors and audio sensors associated with the content personalization system.

4. The method as claimed in claim 1 , wherein the one or more features comprises illustrations used while presenting content, examples used, jokes, voice modulation, elevated pitches while presenting, usage of filler words, speed at which the content is presented and body language.

5. The method as claimed in claim 1 , wherein each of the plurality of data packets is associated with a title and metadata, wherein the metadata comprises type of each of the plurality of data packets, identification number of each of the plurality of data packets, position of each of the plurality of data packets and start and end time of each of the plurality of data packets.

6. The method as claimed in claim 1 , wherein the plurality of data packets comprises at least one of text, figure, table, audio clip or video clip.

7. The method as claimed in claim 1 , wherein performing at least one of inserting the new data packet and deleting the data packet in the original content comprises:
detecting position for adding the new data packet based on available time slot in the target content and context of the new data packet; and
detecting relevancy of the data packet from the plurality of data packets for deleting the data packet, wherein the relevancy is detected based on non-usage of the data packet by the presenter while presenting the target content.

8. A content personalization system for providing personalized content to a user, the content personalization system comprising:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores the processor-executable instructions, which, on execution, causes the processor to:
categorize original content to be provided to the user into a plurality of data packets, wherein the original content comprises content related to one or more domains, wherein each of the plurality of data packets comprises data of similar domains;
categorize the user into a class of a plurality of classes based on one or more parameters associated with the user and identifying a vocabulary of words suitable for the class, wherein each class is associated with a domain of the one or more domains;
identify relevant content for the class based on domain of the user in the class, profile of creator creating the original content and the original content;
modify the original content for the class by performing at least one of inserting a new data packet, obtained based on the relevant content, in the original content and deleting a data packet from the plurality of data packets in the original content, wherein modification is based on comparison between the original content and the relevant content;
generate a target content for the class based on the vocabulary of words associated with the class and modified original content, wherein the vocabulary of words is identified by identifying the class to which the user belongs and identifying the vocabulary of words suitable for the class using a forward classifier realized through a Long Short Term Memory (LSTM), and wherein the vocabulary of words comprises equivalent words and words identified as effective for the class; and
provide the target content to the class by incorporating one or more features of a presenter, selected from one or more presenters, for presenting the target content.

9. The content personalization system as claimed in claim 8 , wherein the one or more parameters comprises historical data of the user, previous content effectively provided to the user and profile of the user.

10. The content personalization system as claimed in claim 8 , wherein the processor extracts one or more features of the one or more presenters using one or more sensors comprising image sensors and audio sensors associated with the content personalization system.

11. The content personalization system as claimed in claim 8 , wherein the one or more features comprises illustrations used while presenting content, examples used, jokes, voice modulation, elevated pitches while presenting, usage of filler words, speed at which the content is presented and body language.

12. The content personalization system as claimed in claim 8 , wherein each of the plurality of data packets is associated with a title and metadata, wherein the metadata comprises type of each of the plurality of data packets, identification number of each of the plurality of data packets, position of each of the plurality of data packets and start and end time of each of the plurality of data packets.

13. The content personalization system as claimed in claim 8 , wherein the plurality of data packets comprises at least one of text, figure, table, audio clip or video clip.

14. The content personalization system as claimed in claim 8 , wherein the processor performs at least one of inserting the new data packet and deleting the data packet in the original content by:
detecting position for adding the new data packet based on available time slot in the target content and context of the new data packet; and
detecting relevancy of the data packet from the plurality of data packets for deleting the data packet, wherein the relevancy is detected based on non-usage of the data packet by the presenter while presenting the targ

Assignees

• Wipro Ltd

Inventors

• Ramachandra Iyer Manjunath
• Ulaganathan Sethuraman

Classifications

• H04L65/612

  for unicast · CPC title

• H04L65/762 Primary

  at the source  (reformatting of additional data in video distribution servers H04N21/2355) · CPC title

• G06F16/285

  Clustering or classification · CPC title

• H04L67/306 Primary

  User profiles · CPC title