SYSTEM AND METHOD FOR PROVIDING CONTEXT OF WEB CONTENT
The present teaching relates to providing contextual information to web content. Relevant information is extracted from a current article that a user is reviewing. Contextual information associated with the current article is retrieved from a database based on the extracted relevant information. A zoom-out summary of the contextual information is automatically generated to characterize the background of the current article. A zoom-out option is presented to the user that allows the user to review, once the option is activated, the zoom-out summary to understand the background of the current article.
1 . A method, comprising:
receiving a current article that a user is reviewing on a graphical user interface (GUI);
extracting, from the current article, relevant information;
retrieving contextual information associated with the current article based on the extracted relevant information;
automatically generating a zoom-out summary of the contextual information to characterize background of the current article; and
providing a zoom-out option to the user on the GUI that allows, once activated, the user to review the zoom-out summary of the contextual information providing the background associated with the current article.
2 . The method of claim 1 , wherein the relevant information includes:
a source of the current article;
one or more entities mentioned in the current article; and
one or more topics that the current article covers.
3 . The method of claim 2 , wherein the step of retrieving contextual information associated with the current article comprises:
identifying one or more historic documents/articles related to the one or more entities and/or the one or more topics via a knowledge representation characterizing relationships among a plurality of historic documents/articles;
retrieving, from a content archive, at least one of some of the one or more historic documents/articles and statistics associated with the one or more historic documents/articles; and
generating the contextual information based on what is retrieved from the content archive.
4 . The method of claim 3 , wherein the one or more historic documents/articles and the statistics associated therewith are retrieved with respect to a first set of zoom-out summary parameter.
5 . The method of claim 1 , wherein the step of automatically generating a zoom-out summary comprises:
receiving a second set of zoom-out summary parameters for controlling the generation of the zoom-out summary;
receiving the contextual information identified based on the relevant information extracted from the current article; and
creating, based on large language models (LLMs), the zoom-out summary of the contextual information in compliant with the second set of zoom-out summary parameters.
6 . The method of claim 5 , wherein the second set of zoom-out summary parameters include at least one of:
a first parameter relating to topics to be covered by the zoom-out summary;
a second parameter relating to a limit to length of the zoom-out summary; and
a third parameter relating to a tone of text in the zoom-out summary.
7 . The method of claim 1 , further comprising:
receiving an indication from the GUI that the user activates the zoom-out option; and
rendering the zoom-out summary of the contextual information of the current article on the GUI.
8 . A machine-readable and non-transitory medium having information recorded thereon, wherein the information, when read by the machine, causes the machine to perform the following steps:
receiving a current article that a user is reviewing on a graphical user interface (GUI);
extracting, from the current article, relevant information;
retrieving contextual information associated with the current article based on the extracted relevant information;
automatically generating a zoom-out summary of the contextual information to characterize background of the current article; and
providing a zoom-out option to the user on the GUI that allows, once activated, the user to review the zoom-out summary of the contextual information providing the background associated with the current article.
9 . The medium of claim 8 , wherein the relevant information includes:
a source of the current article;
one or more entities mentioned in the current article; and
one or more topics that the current article covers.
10 . The medium of claim 9 , wherein the step of retrieving contextual information associated with the current article comprises:
identifying one or more historic documents/articles related to the one or more entities and/or the one or more topics via a knowledge representation characterizing relationships among a plurality of historic documents/articles;
retrieving, from a content archive, at least one of some of the one or more historic documents/articles and statistics associated with the one or more historic documents/articles; and
generating the contextual information based on what is retrieved from the content archive.
11 . The medium of claim 10 , wherein the one or more historic documents/articles and the statistics associated therewith are retrieved with respect to a first set of zoom-out summary parameter.
12 . The medium of claim 8 , wherein the step of automatically generating a zoom-out summary comprises:
receiving a second set of zoom-out summary parameters for controlling the generation of the zoom-out summary;
receiving the contextual information identified based on the relevant information extracted from the current article; and
creating, based on large language models (LLMs), the zoom-out summary of the contextual information in compliant with the second set of zoom-out summary parameters.
13 . The medium of claim 12 , wherein the second set of zoom-out summary parameters include at least one of:
a first parameter relating to topics to be covered by the zoom-out summary;
a second parameter relating to a limit to length of the zoom-out summary; and
a third parameter relating to a tone of text in the zoom-out summary.
14 . The medium of claim 8 , wherein the information, when read by the machine, further causes the machine to perform the following steps:
receiving an indication from the GUI that the user activates the zoom-out option; and
rendering the zoom-out summary of the contextual information of the current article on the GUI.
15 . A system, comprising:
a story information extractor implemented by a processor and configured for:
receiving a current article that a user is reviewing on a graphical user interface (GUI), and
extracting, from the current article, relevant information;
a relevant past content retriever implemented by a processor and configured for retrieving contextual information associated with the current article based on the extracted relevant information;
a zoom-out summary generator implemented by a processor and configured for automatically generating a zoom-out summary of the contextual information to characterize background of the current article; and
a zoom-out information renderer implemented by a processor and configured for providing a zoom-out option to the user on the GUI that allows, once activated, the user to review the zoom-out summary of the contextual information providing the background associated with the current article.
16 . The system of claim 15 , wherein the relevant information includes:
a source of the current article;
one or more entities mentioned in the current article; and
one or more topics that the current article covers.
17 . The system of claim 16 , wherein the step of retrieving contextual information associated with the current article comprises:
identifying one or more historic documents/articles related to the one or more entities and/or the one or more topics via a knowledge representation characterizing relationships among a plurality of historic documents/articles;
retrieving, from a content archive, at least one of some of the one or more historic documents/articles and statistics associated with the one or more historic documents/articles; and
generating the contextual information based on what is retrieved from the content archive, wherein
the one or more historic documents/articles and the statistics associated therewith are retrieved with respect to a first set of zoom-out summary parameter.
18 . The system of claim 15 , wherein the step of automatically generating a zoom-out summary comprises:
receiving a second set of zoom-out summary parameters for controlling the generation of the zoom-out summary;
receiving the contextual information identified based on the relevant information extracted from the current article; and
creating, based on large language models (LLMs), the zoom-out summary of the contextual information in compliant with the second set of zoom-out summary parameters.
19 . The system of claim 18 , wherein the second set of zoom-out summary parameters include at least one of:
a first parameter relating to topics to be covered by the zoom-out summary;
a second parameter relating to a limit to length of the zoom-out summary; and
a third parameter relating to a tone of text in the zoom-out summary.
20 . The system of claim 15 , wherein the zoom-out information renderer is further configured for:
receiving an indication from the GUI that the user activates the zoom-out option; and
rendering the zoom-out summary of the contextual information of the current article on the GUI.