System and method for identifying composition preferences

According to embodiments, methods, systems, and computer program products are provided for receiving one or more input compositions comprising one or more materials, assigning a material vector to each material, learning, for each of the input compositions, a composition vector based on the material...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Luna, Pamela N, Chee, Yi-Min, Segal, Richard B, Jagmohan, Ashish, Ratakonda, Krishna C, Sukaviriya, Piyawadee
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 Luna, Pamela N
Chee, Yi-Min
Segal, Richard B
Jagmohan, Ashish
Ratakonda, Krishna C
Sukaviriya, Piyawadee
description According to embodiments, methods, systems, and computer program products are provided for receiving one or more input compositions comprising one or more materials, assigning a material vector to each material, learning, for each of the input compositions, a composition vector based on the material vectors of the materials that form each composition, assigning predicted rating values having a confidence level to each of the composition vectors, selecting a composition to be rated based on the confidence levels, presenting the selected composition to be rated to a user, receiving a user rating for the composition to be rated; adjusting the predicted rating values and confidence levels of the composition vectors that have not been rated by the user, and generating a predictive model to predict a user's ratings for compositions when confidence levels of each composition vector is above a predetermined threshold value.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US11200504B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US11200504B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US11200504B23</originalsourceid><addsrcrecordid>eNrjZLAMriwuSc1VSMxLUchNLcnIT1FIyy9SyExJzSvJTKvMzEtXSM7PLcgvzizJzM9TKChKTUstSs1LTi3mYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxocGGhkYGBqYGJk5GxsSoAQB89C9O</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>System and method for identifying composition preferences</title><source>esp@cenet</source><creator>Luna, Pamela N ; Chee, Yi-Min ; Segal, Richard B ; Jagmohan, Ashish ; Ratakonda, Krishna C ; Sukaviriya, Piyawadee</creator><creatorcontrib>Luna, Pamela N ; Chee, Yi-Min ; Segal, Richard B ; Jagmohan, Ashish ; Ratakonda, Krishna C ; Sukaviriya, Piyawadee</creatorcontrib><description>According to embodiments, methods, systems, and computer program products are provided for receiving one or more input compositions comprising one or more materials, assigning a material vector to each material, learning, for each of the input compositions, a composition vector based on the material vectors of the materials that form each composition, assigning predicted rating values having a confidence level to each of the composition vectors, selecting a composition to be rated based on the confidence levels, presenting the selected composition to be rated to a user, receiving a user rating for the composition to be rated; adjusting the predicted rating values and confidence levels of the composition vectors that have not been rated by the user, and generating a predictive model to predict a user's ratings for compositions when confidence levels of each composition vector is above a predetermined threshold value.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2021</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&amp;date=20211214&amp;DB=EPODOC&amp;CC=US&amp;NR=11200504B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20211214&amp;DB=EPODOC&amp;CC=US&amp;NR=11200504B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Luna, Pamela N</creatorcontrib><creatorcontrib>Chee, Yi-Min</creatorcontrib><creatorcontrib>Segal, Richard B</creatorcontrib><creatorcontrib>Jagmohan, Ashish</creatorcontrib><creatorcontrib>Ratakonda, Krishna C</creatorcontrib><creatorcontrib>Sukaviriya, Piyawadee</creatorcontrib><title>System and method for identifying composition preferences</title><description>According to embodiments, methods, systems, and computer program products are provided for receiving one or more input compositions comprising one or more materials, assigning a material vector to each material, learning, for each of the input compositions, a composition vector based on the material vectors of the materials that form each composition, assigning predicted rating values having a confidence level to each of the composition vectors, selecting a composition to be rated based on the confidence levels, presenting the selected composition to be rated to a user, receiving a user rating for the composition to be rated; adjusting the predicted rating values and confidence levels of the composition vectors that have not been rated by the user, and generating a predictive model to predict a user's ratings for compositions when confidence levels of each composition vector is above a predetermined threshold value.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAMriwuSc1VSMxLUchNLcnIT1FIyy9SyExJzSvJTKvMzEtXSM7PLcgvzizJzM9TKChKTUstSs1LTi3mYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxocGGhkYGBqYGJk5GxsSoAQB89C9O</recordid><startdate>20211214</startdate><enddate>20211214</enddate><creator>Luna, Pamela N</creator><creator>Chee, Yi-Min</creator><creator>Segal, Richard B</creator><creator>Jagmohan, Ashish</creator><creator>Ratakonda, Krishna C</creator><creator>Sukaviriya, Piyawadee</creator><scope>EVB</scope></search><sort><creationdate>20211214</creationdate><title>System and method for identifying composition preferences</title><author>Luna, Pamela N ; Chee, Yi-Min ; Segal, Richard B ; Jagmohan, Ashish ; Ratakonda, Krishna C ; Sukaviriya, Piyawadee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11200504B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Luna, Pamela N</creatorcontrib><creatorcontrib>Chee, Yi-Min</creatorcontrib><creatorcontrib>Segal, Richard B</creatorcontrib><creatorcontrib>Jagmohan, Ashish</creatorcontrib><creatorcontrib>Ratakonda, Krishna C</creatorcontrib><creatorcontrib>Sukaviriya, Piyawadee</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Luna, Pamela N</au><au>Chee, Yi-Min</au><au>Segal, Richard B</au><au>Jagmohan, Ashish</au><au>Ratakonda, Krishna C</au><au>Sukaviriya, Piyawadee</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System and method for identifying composition preferences</title><date>2021-12-14</date><risdate>2021</risdate><abstract>According to embodiments, methods, systems, and computer program products are provided for receiving one or more input compositions comprising one or more materials, assigning a material vector to each material, learning, for each of the input compositions, a composition vector based on the material vectors of the materials that form each composition, assigning predicted rating values having a confidence level to each of the composition vectors, selecting a composition to be rated based on the confidence levels, presenting the selected composition to be rated to a user, receiving a user rating for the composition to be rated; adjusting the predicted rating values and confidence levels of the composition vectors that have not been rated by the user, and generating a predictive model to predict a user's ratings for compositions when confidence levels of each composition vector is above a predetermined threshold value.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US11200504B2
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title System and method for identifying composition preferences
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T01%3A57%3A45IST&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=Luna,%20Pamela%20N&rft.date=2021-12-14&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS11200504B2%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