GUI for layered transformative AI data article compression
A system for generating a graphical user interface for prompting layered transformative data article compression by artificial intelligence is configured to generate a second data article by, at least in part, compressing a first data article using a first AI algorithm trained by a machine-learning technique, and send the second data article with instructions to display at least a portion of the second data article at the user device. Compressing the first data article using the AI algorithm includes: generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration; and generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration.
1 . A system for generating a graphical user interface for prompting layered transformative data article compression at least in part by artificial intelligence (AI), the system comprising:
a computing system of a first entity including at least one processor configured to execute computer-readable instructions, at least one of a memory device and a non-transitory storage device, and a communication interface for operatively connecting the at least one processor to a user device via a communication network, the at least one of a memory device and a non-transitory storage device storing a user profile associated with the user device;
wherein, upon execution of the computer-readable instructions, the at least one processor is configured to:
access a first data article;
transmit the first data article to the user device via the communication network with instructions to generate a graphical user interface that displays at least a portion of the first data article and an operable compression request selector at the user device;
receive from the user device via the communication network a selector signal indicative of user action on the operable compression request selector;
generate a second data article by, at least in part, compressing the first data article using an AI algorithm trained by a machine-learning technique; and
send the second data article via the communication network with instructions to display at least a portion of the second data article at the user device,
wherein compressing the first data article using the AI algorithm comprises:
generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration;
accessing the user profile; and
generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration according to at least one setting stored in the user profile.
2 . The system of claim 1 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises translating content of the first data article from a first language to a second language of the second data article.
3 . The system of claim 2 , wherein the second language comprises a natural language format and the first language comprises at least one of a legal format and a technical format.
4 . The system of claim 1 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises at least one of: shortening content of the first data article; summarizing content of the first data article; and simplifying content of the first data article.
5 . The system of claim 1 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises at least one of:
shortening content of the first data article while maintaining semantic meaning;
decomposing at least one sentence longer than a threshold number of words into multiple sentences each having a number of words less than the threshold number of words; and
replacing at least one word having a threshold number of letters with one or more replacement words extracted from a thesaurus, the one or more replacement words each having less than the threshold number of letters.
6 . The system of claim 1 , wherein generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration comprises accessing the user profile and at least one of: checking a user preference; deducing a user preference; and inferring a user preference.
7 . The system of claim 1 , wherein content of the first data article comprises at least one of: information about an offering by the first entity; and, terms and conditions for an offering by the first entity.
8 . A system for generating a graphical user interface for prompting layered transformative data article compression at least in part by artificial intelligence (AI), the system comprising:
a computing system of a first entity including at least one processor configured to execute computer-readable instructions, at least one of a memory device and a non-transitory storage device, and a communication interface for operatively connecting the at least one processor to a user device via a communication network, the at least one of a memory device and a non-transitory storage device storing a user profile associated with the user device;
wherein, upon execution of the computer-readable instructions, the at least one processor is configured to:
access a first data article;
generate a second data article by, at least in part, compressing the first data article using an AI algorithm trained by a machine-learning technique; and
send the second data article to the user device via the communication network with instructions to generate a graphical user interface that displays at least a portion of the second data article at the user device,
wherein compressing the first data article using the AI algorithm comprises:
generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration;
accessing the user profile; and
generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration according to at least one setting stored in the user profile.
9 . The system of claim 8 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises translating content of the first data article from a first language to a second language of the second data article.
10 . The system of claim 9 , wherein the second language comprises a natural language format and the first language comprises at least one of a legal format and a technical format.
11 . The system of claim 8 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises at least one of: shortening content of the first data article; summarizing content of the first data article; and simplifying content of the first data article.
12 . The system of claim 8 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises at least one of:
shortening content of the first data article while maintaining semantic meaning;
decomposing at least one sentence longer than a threshold number of words into multiple sentences each having a number of words less than the threshold number of words; and
replacing at least one word having a threshold number of letters with one or more replacement words extracted from a thesaurus, the replacement words each having less than the threshold number of letters.
13 . The system of claim 8 , wherein generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration comprises accessing the user profile and at least one of: checking a user preference; deducing a user preference; and inferring a user preference.
14 . The system of claim 8 , wherein content of the first data article comprises at least one of: information about an offering by the first entity; and, terms and conditions for an offering by the first entity.
15 . A method for a computing system to generate a graphical user interface for prompting transformative data article compression at least in part by artificial intelligence (AI), the computing system being of a first entity and including at least one processor configured to execute computer-readable instructions, at least one of a memory device and a non-transitory storage device, and a communication interface for operatively connecting the at least one processor to a user device via a communication network, the at least one of a memory device and a non-transitory storage device storing a user profile associated with the user device, the method comprising, upon executing the computer-readable instructions, the at least one processor operating the computing system to:
access a first data article;
transmit the first data article to the user device via the communication network with instructions to generate a graphical user interface that displays at least a portion of the first data article and an operable compression request selector at the user device;
receive from the user device via the communication network a selector signal indicative of user action on the operable compression request selector;
generate a second data article by, at least in part, compressing the first data article using an AI algorithm trained by a machine-learning technique; and
send the second data article via the communication network with instructions to display at least a portion of the second data article at the user device,
wherein compressing the first data article using the AI algorithm comprises:
generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration;
accessing the user profile; and
generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration according to at least one setting stored in the user profile.
16 . The method of claim 15 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises translating content of the first data article from a first language to a second language of the second data article.
17 . The method of claim 16 , wherein the second language comprises a natural language format and the first language comprises at least one of a legal format and a technical format.
18 . The method of claim 15 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises at least one of: shortening content of the first data article; summarizing content of the first data article; and simplifying content of the first data article.
19 . The method of claim 15 , wherein generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration comprises at least one of:
shortening content of the first data article while maintaining semantic meaning;
decomposing at least one sentence longer than a threshold number of words into multiple sentences each having a number of words less than the threshold number of words; and
replacing at least one word having a threshold number of letters with one or more replacement words extracted from a thesaurus, the replacement words each having less than the threshold number of letters.
20 . The method of claim 15 , wherein generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration comprises accessing the user profile and at least one of: checking a user preference; deducing a user preference; and inferring a user preference.