GENERATING CONTENT ENDORSEMENTS USING MACHINE LEARNING NOMINATOR(S)

Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alter...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Singh, Sarvjeet, Bedrax-Weiss, Tania, Ramachandran, Deepak
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 Singh, Sarvjeet
Bedrax-Weiss, Tania
Ramachandran, Deepak
description Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2024103893A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2024103893A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2024103893A13</originalsourceid><addsrcrecordid>eNrjZHB2d_VzDXIM8fRzV3D29wtx9QtRcPVz8Q8KdvUFsoMVQoNBUr6Ozh6efq4KPq6OQX4gAT9_X08_xxD_II1gTR4G1rTEnOJUXijNzaDs5hri7KGbWpAfn1pckJicmpdaEh8abGRgZGJoYGxhaexoaEycKgD3riya</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>GENERATING CONTENT ENDORSEMENTS USING MACHINE LEARNING NOMINATOR(S)</title><source>esp@cenet</source><creator>Singh, Sarvjeet ; Bedrax-Weiss, Tania ; Ramachandran, Deepak</creator><creatorcontrib>Singh, Sarvjeet ; Bedrax-Weiss, Tania ; Ramachandran, Deepak</creatorcontrib><description>Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2024</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=20240328&amp;DB=EPODOC&amp;CC=US&amp;NR=2024103893A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240328&amp;DB=EPODOC&amp;CC=US&amp;NR=2024103893A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Singh, Sarvjeet</creatorcontrib><creatorcontrib>Bedrax-Weiss, Tania</creatorcontrib><creatorcontrib>Ramachandran, Deepak</creatorcontrib><title>GENERATING CONTENT ENDORSEMENTS USING MACHINE LEARNING NOMINATOR(S)</title><description>Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHB2d_VzDXIM8fRzV3D29wtx9QtRcPVz8Q8KdvUFsoMVQoNBUr6Ozh6efq4KPq6OQX4gAT9_X08_xxD_II1gTR4G1rTEnOJUXijNzaDs5hri7KGbWpAfn1pckJicmpdaEh8abGRgZGJoYGxhaexoaEycKgD3riya</recordid><startdate>20240328</startdate><enddate>20240328</enddate><creator>Singh, Sarvjeet</creator><creator>Bedrax-Weiss, Tania</creator><creator>Ramachandran, Deepak</creator><scope>EVB</scope></search><sort><creationdate>20240328</creationdate><title>GENERATING CONTENT ENDORSEMENTS USING MACHINE LEARNING NOMINATOR(S)</title><author>Singh, Sarvjeet ; Bedrax-Weiss, Tania ; Ramachandran, Deepak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024103893A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Singh, Sarvjeet</creatorcontrib><creatorcontrib>Bedrax-Weiss, Tania</creatorcontrib><creatorcontrib>Ramachandran, Deepak</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Singh, Sarvjeet</au><au>Bedrax-Weiss, Tania</au><au>Ramachandran, Deepak</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>GENERATING CONTENT ENDORSEMENTS USING MACHINE LEARNING NOMINATOR(S)</title><date>2024-03-28</date><risdate>2024</risdate><abstract>Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2024103893A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title GENERATING CONTENT ENDORSEMENTS USING MACHINE LEARNING NOMINATOR(S)
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T07%3A21%3A05IST&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=Singh,%20Sarvjeet&rft.date=2024-03-28&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2024103893A1%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