Granted Patent B2

US 12,561,514 · App. 18/532,356 · Granted Feb 24, 2026

Inventors: Krishnaditya Krishnaditya (Bengaluru, IN); Rohini Nookala (Bangalore, IN); Pinaki Bhaskar (Bangalore, IN); Aniruddha Bala (Bengaluru, IN); Ankit Sharma (Bangalore, IN); Vikram Mupparthi (Bangalore, IN)

Assignee: Samsung Electronics Co., Ltd.

G06F40/134

Abstract

Claims (44)

1 . A method for classifying one or more hyperlinks in a document, the method comprising:

identifying the one or more hyperlinks in the document based on an analysis of text strings of the document;

analyzing surrounding text strings around each of the one or more hyperlinks;

classifying, based on the analysis of the surrounding text strings around each of the one or more hyperlinks, the one or more hyperlinks into at least one category among a plurality of predetermined categories including at least two of a pre-requisite category, a co-requisite category, or a post-requisite category;

generating a link representation list corresponding to the classified one or more hyperlinks, without using content of the one or more hyperlinks, based on the surrounding text strings;

creating a taxonomy including a list of concepts related to the text strings of the document;

arranging the classified one or more hyperlinks in a predefined order based on the taxonomy; and

displaying, on a graphical user interface (GUI), the link representation list, based on the arrangement of the classified one or more hyperlinks in the predefined order, each item in the link representation list being displayed on the GUI with an indication of its corresponding category among the pre-requisite category, the co-requisite category, or the post-requisite category.

2 . The method of claim 1 , further comprising:

extracting user information associated with a user accessing the document; and

selecting at least one hyperlink among the classified one or more hyperlinks, based on the user information.

3 . The method of claim 2 , wherein the user information is extracted from memory having at least one of a user profile information or a browsing history information of the user stored therein.

4 . The method of claim 2 , wherein the user information includes at least one of profile information of the user, demographic information of the user, educational qualifications of the user, published documents authored by the user, or user uploaded documents.

5 . The method of claim 1 , wherein the classifying of the one or more hyperlinks further comprises:

classifying the one or more hyperlinks using the surrounding text strings without referring to the one or more hyperlinks.

6 . The method of claim 1 , wherein the document corresponds to one of a text document, a web document, an application based documents, or a cloud based document.

7 . A system for classifying one or more hyperlinks in a document, the system comprising:

a display;

memory storing instructions; and

one or more processors communicatively coupled to the display and the memory,

wherein the instructions, when executed by the one or more processors individually or collectively, cause the system to:

identify the one or more hyperlinks in the document based on an analysis of text strings of the document,

analyze surrounding text strings around each of the one or more hyperlinks,

classify, based on the analysis of the surrounding text strings around each of the one or more hyperlinks, the one or more hyperlinks into at least one category among a plurality of predetermined categories including at least two of a pre-requisite category, a co-requisite category, or a post-requisite category,

generate a link representation list corresponding to the classified one or more hyperlinks, without using content of the one or more hyperlinks, based on the surrounding text strings,

create a taxonomy including a list of concepts related to the text strings of the document,

arrange the classified one or more hyperlinks in a predefined order based on the taxonomy, and

display, on a graphical user interface (GUI) via the display, the link representation list, based on the arrangement of the classified one or more hyperlinks in the predefined order, each item in the link representation list being displayed on the GUI with an indication of its corresponding category among the pre-requisite category, the co-requisite category, or the post-requisite category.

8 . The system of claim 7 , wherein the instructions, when executed by the one or more processors individually or collectively, further cause the system to:

extract user information associated with a user accessing the document, and

select at least one hyperlink among the classified one or more hyperlinks, based on the user information.

9 . The system of claim 8 , wherein the instructions, when executed by the one or more processors individually or collectively, further cause the system to;

extract the user information from the memory having at least one of a user profile information or a browsing history information of the user stored therein.

10 . The system of claim 8 , wherein the user information includes at least one of profile information of the user, demographic information of the user, educational qualifications of the user, published documents authored by the user, or user uploaded documents.

11 . The system of claim 7 , wherein the instructions, when executed by the one or more processors individually or collectively, further cause the system to:

classify the one or more hyperlinks using the surrounding text strings without referring to the one or more hyperlinks.

12 . The system of claim 7 , wherein the document corresponds to one of a text document, a web document, an application based documents, or a cloud based documents.

13 . The system of claim 7 , further comprising:

an input device,

wherein the instructions, when executed by the one or more processors individually or collectively, further cause the system to:

receive, via the input device, user input, and

acquire the document based on the received user input.

14 . The system of claim 7 , wherein the instructions, when executed by the one or more processors individually or collectively, further cause the system to:

store, in the memory, user information as a knowledge graph.

Assignments (1)

Priority Claims (1)

Continuity (2)

References Cited (24)