REAL-TIME ADAPTATION OF TEXTUAL CONTENT DEPENDENT ON USER UNDERSTANDING

• US 20200134039A1
• Filed: 10/29/2018
• Published: 04/30/2020
• Est. Priority Date: 10/29/2018
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Alam, Nebula, Pervin, Shail, Harris, Simon, Rawlinson, Andrew, Sherchan, Wanita
• Application Number:
  US16/173,058
• Publication Number:
  US 20200134039A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/3326 using relevance feedback from the user, e.g. relevance feedback on documents, documents sets, document terms or passages
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 40/131 Fragmentation of text files, e.g. creating reusable text-blocks; Linking to fragments, e.g. using XInclude; Namespaces
• CPC Class Codes: G06F 40/157 using dictionaries or tables
• CPC Class Codes: G06F 40/197 Version control for software G06F8/71
• CPC Class Codes: G06F 40/216 using statistical methods
• CPC Class Codes: G06F 40/247 Thesauruses; Synonyms
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30

Abstract

A textual content adaption method, system, and computer program product, include receiving a corpus of content, segmenting the content into sections, determining a classification for each section by determining an audience and an expertise level for the section, determining a baseline for a user, modifying a portion of content from the corpus based on the classification of the sections included in the portion of content and based on the baseline of the user, and providing the modified portion of content to the user.

Claims

1. A computer-implemented textual content adaption method, the method comprising:

receiving a corpus of content;

segmenting the content into sections;

determining a classification for each section by determining an audience and an expertise level for the section;

determining a baseline for a user,

modifying a portion of the content from the corpus based on the classification of the sections included in the portion of the content and based on the baseline of the user; and

providing the modified portion of the content to the user.

2. The computer-implemented method of claim 1, wherein the modifying modifies the portion of the content by one of:

summarization;

expansion;

simplification; and

a substitution of a first section for a second section.

3. The computer-implemented method of claim 1, wherein the baseline of the user is continually adjusted based on changes to the baseline for the user and on user feedback indicating an understanding of the content.

4. The computer-implemented method of claim 1, wherein the baseline of the user is based on at least one of:

an education of the user;

a demographic of the user,

social media content produced by the user; and

a media consumption history of the user.

5. The computer-implemented method of claim 1, wherein the baseline of the user is based on a combination of each of:

an education of the user,

a demographic of the user,

social media content produced by the user, and

a media consumption history of the user.

6. The computer-implemented method of claim 2, wherein the summarization includes withholding advanced topics and summarizing the advanced topics for learners below a predetermined level,

wherein the expansion, for a concept classified as advanced, expands the concept by searching a database and adding extra learning material to explain the concept, and

wherein the simplification, for a user with a language capability less than a threshold value, modifies the content by changing the language in the content to simpler language modified to be presented using simpler language.

7. The computer-implemented method of claim 1, wherein the corpus of the content comprises a single corpus.

8. The computer-implemented method of claim 1, wherein the corpus of the content includes only one version of the content.

9. The computer-implemented method of claim 1, wherein the modifying changes words of one version of the content to provide a different version that is understandable by the user based on the baseline of the user.

10. The computer-implemented method of claim 1, embodied in a cloud-computing environment.

12. The computer program product of claim 1, wherein the modifying modifies the portion of the content by one of:

summarization;

expansion;

simplification; and

a substitution of a first section for a second section.

11. A computer program product for textual content adaption, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:

receiving a corpus of content;

segmenting the content into sections;

determining a classification for each section by determining an audience and an expertise level for the section;

determining a baseline for a user;

modifying a portion of the content from the corpus based on the classification of the sections included in the portion of the content and based on the baseline of the user, and

providing the modified portion of the content to the user.

13. The computer program product of claim 11, wherein the baseline of the user is continually adjusted based on changes to the baseline for the user and on user feedback indicating an understanding of the content.

14. The computer program product of claim 11, wherein the baseline of the user is based on at least one of:

an education of the user;

a demographic of the user;

social media content produced by the user, and

a media consumption history of the user.

15. The computer program product of claim 11, wherein the baseline of the user is based on a combination of each of:

an education of the user;

a demographic of the user;

social media content produced by the user; and

a media consumption history of the user.

determining a baseline for a user;

modifying a portion of the content from the corpus based on the classification of the sections included in the portion of the content and based on the baseline of the user, and

providing the modified portion of the content to the user.

20. The system of claim 19, embodied in a cloud-computing environment.