COMPUTER-BASED SYSTEMS CONFIGURED FOR RECORD ANNOTATION AND METHODS OF USE THEREOF
Systems and methods of record annotation via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: receiving at least one annotating content item being associated with at least one first record of a user; utilizing a trained machine lear...
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creator | Cheng, Lin Ni Lisa Wu, Angelina |
description | Systems and methods of record annotation via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: receiving at least one annotating content item being associated with at least one first record of a user; utilizing a trained machine learning model to: i) generate at least one derived annotating content item based at least in part on the at least one annotating content item and data of the at least one first record; ii) identify at least one second record related to the user based at least in part on: the data of the at least one first record and one or both of profile information and context information of the user; and iii) annotate the at least one second record with the at least one derived annotating content item. |
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In one embodiment, an exemplary computer-implemented method may comprise: receiving at least one annotating content item being associated with at least one first record of a user; utilizing a trained machine learning model to: i) generate at least one derived annotating content item based at least in part on the at least one annotating content item and data of the at least one first record; ii) identify at least one second record related to the user based at least in part on: the data of the at least one first record and one or both of profile information and context information of the user; and iii) annotate the at least one second record with the at least one derived annotating content item.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230223&DB=EPODOC&CC=US&NR=2023054663A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230223&DB=EPODOC&CC=US&NR=2023054663A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Cheng, Lin Ni Lisa</creatorcontrib><creatorcontrib>Wu, Angelina</creatorcontrib><title>COMPUTER-BASED SYSTEMS CONFIGURED FOR RECORD ANNOTATION AND METHODS OF USE THEREOF</title><description>Systems and methods of record annotation via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: receiving at least one annotating content item being associated with at least one first record of a user; utilizing a trained machine learning model to: i) generate at least one derived annotating content item based at least in part on the at least one annotating content item and data of the at least one first record; ii) identify at least one second record related to the user based at least in part on: the data of the at least one first record and one or both of profile information and context information of the user; and iii) annotate the at least one second record with the at least one derived annotating content item.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNirEKwjAQQLs4iPoPB86F2mr3mFxsh-Tk7jI4lSJxEi3U_8cOfoDTezzeumBL4ZoUuTwbQQdyE8UgYCn6_pJ4SZ4YGC2xAxMjqdGe4qIOAmpHToA8JEHQDhnJb4vVY3zOeffjpth7VNuVeXoPeZ7Ge37lz5CkruqmOh3btjGH5r_rC6UYMJs</recordid><startdate>20230223</startdate><enddate>20230223</enddate><creator>Cheng, Lin Ni Lisa</creator><creator>Wu, Angelina</creator><scope>EVB</scope></search><sort><creationdate>20230223</creationdate><title>COMPUTER-BASED SYSTEMS CONFIGURED FOR RECORD ANNOTATION AND METHODS OF USE THEREOF</title><author>Cheng, Lin Ni Lisa ; Wu, Angelina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2023054663A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Lin Ni Lisa</creatorcontrib><creatorcontrib>Wu, Angelina</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cheng, Lin Ni Lisa</au><au>Wu, Angelina</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>COMPUTER-BASED SYSTEMS CONFIGURED FOR RECORD ANNOTATION AND METHODS OF USE THEREOF</title><date>2023-02-23</date><risdate>2023</risdate><abstract>Systems and methods of record annotation via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: receiving at least one annotating content item being associated with at least one first record of a user; utilizing a trained machine learning model to: i) generate at least one derived annotating content item based at least in part on the at least one annotating content item and data of the at least one first record; ii) identify at least one second record related to the user based at least in part on: the data of the at least one first record and one or both of profile information and context information of the user; and iii) annotate the at least one second record with the at least one derived annotating content item.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | COMPUTER-BASED SYSTEMS CONFIGURED FOR RECORD ANNOTATION AND METHODS OF USE THEREOF |
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