IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS
Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a gi...
Gespeichert in:
Hauptverfasser: | , , , , , , |
---|---|
Format: | Patent |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Gifford Wesley M Rodeman Suzanne M Aki Shota Jagmohan Ashish Chee Yi-Min Sheopuri Anshul Ambrose John J |
description | Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2017116554A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2017116554A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2017116554A13</originalsourceid><addsrcrecordid>eNqNjr0OwjAMhLswIOAdLDEjKFCYTeq2kfJTJc7QCSEUJgRI8E68JikgZqazzufvPMyesiTDsuqkqaFFZnLGg61AETrTm8IaTpFefdAtS2sAhbPegw6KZasIegRL8oCmBAxsNbIUqFQHJSWklm9U2s6tA4XBiOZjpNMaa9J9A4o3fIeeSkgDN_R7aZwNTofzPU6-OsqmFbFoZvF23cf77XCMl_jYB79c5Ns83xTFGvPVf6kX9gpIPA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS</title><source>esp@cenet</source><creator>Gifford Wesley M ; Rodeman Suzanne M ; Aki Shota ; Jagmohan Ashish ; Chee Yi-Min ; Sheopuri Anshul ; Ambrose John J</creator><creatorcontrib>Gifford Wesley M ; Rodeman Suzanne M ; Aki Shota ; Jagmohan Ashish ; Chee Yi-Min ; Sheopuri Anshul ; Ambrose John J</creatorcontrib><description>Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2017</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=20170427&DB=EPODOC&CC=US&NR=2017116554A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76292</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170427&DB=EPODOC&CC=US&NR=2017116554A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Gifford Wesley M</creatorcontrib><creatorcontrib>Rodeman Suzanne M</creatorcontrib><creatorcontrib>Aki Shota</creatorcontrib><creatorcontrib>Jagmohan Ashish</creatorcontrib><creatorcontrib>Chee Yi-Min</creatorcontrib><creatorcontrib>Sheopuri Anshul</creatorcontrib><creatorcontrib>Ambrose John J</creatorcontrib><title>IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS</title><description>Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2017</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjr0OwjAMhLswIOAdLDEjKFCYTeq2kfJTJc7QCSEUJgRI8E68JikgZqazzufvPMyesiTDsuqkqaFFZnLGg61AETrTm8IaTpFefdAtS2sAhbPegw6KZasIegRL8oCmBAxsNbIUqFQHJSWklm9U2s6tA4XBiOZjpNMaa9J9A4o3fIeeSkgDN_R7aZwNTofzPU6-OsqmFbFoZvF23cf77XCMl_jYB79c5Ns83xTFGvPVf6kX9gpIPA</recordid><startdate>20170427</startdate><enddate>20170427</enddate><creator>Gifford Wesley M</creator><creator>Rodeman Suzanne M</creator><creator>Aki Shota</creator><creator>Jagmohan Ashish</creator><creator>Chee Yi-Min</creator><creator>Sheopuri Anshul</creator><creator>Ambrose John J</creator><scope>EVB</scope></search><sort><creationdate>20170427</creationdate><title>IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS</title><author>Gifford Wesley M ; Rodeman Suzanne M ; Aki Shota ; Jagmohan Ashish ; Chee Yi-Min ; Sheopuri Anshul ; Ambrose John J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2017116554A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2017</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Gifford Wesley M</creatorcontrib><creatorcontrib>Rodeman Suzanne M</creatorcontrib><creatorcontrib>Aki Shota</creatorcontrib><creatorcontrib>Jagmohan Ashish</creatorcontrib><creatorcontrib>Chee Yi-Min</creatorcontrib><creatorcontrib>Sheopuri Anshul</creatorcontrib><creatorcontrib>Ambrose John J</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gifford Wesley M</au><au>Rodeman Suzanne M</au><au>Aki Shota</au><au>Jagmohan Ashish</au><au>Chee Yi-Min</au><au>Sheopuri Anshul</au><au>Ambrose John J</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS</title><date>2017-04-27</date><risdate>2017</risdate><abstract>Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2017116554A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | IDENTIFYING PATTERNS OF LEARNING CONTENT CONSUMPTION ACROSS MULTIPLE ENTITIES AND AUTOMATICALLY DETERMINING AND/OR LAUNCHING AN ENGAGEMENT ACTION BASED ON THE PATTERNS |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T09%3A34%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Gifford%20Wesley%20M&rft.date=2017-04-27&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2017116554A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |