NEAR REAL TIME RELEVANCE RANKER FOR NOTIFICATIONS
A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system...
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 | Shi, Changji Tao, Zhongen Chatterjee, Shaunak Gao, Yan Nyako, Sandor Yan, Jinyun |
description | A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system that can fetch, store, and process data in a near-line fashion. It can perform feature generation, processing and scoring of notifications, as well as ranking of the notifications based on their respective relevance scores that are calculated using machine learning techniques. The notification delivery system is positioned centrally with respect to different producers of notifications, such that it can consume centrally-stored information about members' holistic notification experiences. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2019334851A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2019334851A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2019334851A13</originalsourceid><addsrcrecordid>eNrjZDD0c3UMUghydfRRCPH0dQWyfFzDHP2cgSxHP2_XIAU3_yAFP_8QTzdPZ8cQT3-_YB4G1rTEnOJUXijNzaDs5hri7KGbWpAfn1pckJicmpdaEh8abGRgaGlsbGJhauhoaEycKgDZ7Cdm</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>NEAR REAL TIME RELEVANCE RANKER FOR NOTIFICATIONS</title><source>esp@cenet</source><creator>Shi, Changji ; Tao, Zhongen ; Chatterjee, Shaunak ; Gao, Yan ; Nyako, Sandor ; Yan, Jinyun</creator><creatorcontrib>Shi, Changji ; Tao, Zhongen ; Chatterjee, Shaunak ; Gao, Yan ; Nyako, Sandor ; Yan, Jinyun</creatorcontrib><description>A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system that can fetch, store, and process data in a near-line fashion. It can perform feature generation, processing and scoring of notifications, as well as ranking of the notifications based on their respective relevance scores that are calculated using machine learning techniques. The notification delivery system is positioned centrally with respect to different producers of notifications, such that it can consume centrally-stored information about members' holistic notification experiences.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2019</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=20191031&DB=EPODOC&CC=US&NR=2019334851A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191031&DB=EPODOC&CC=US&NR=2019334851A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Shi, Changji</creatorcontrib><creatorcontrib>Tao, Zhongen</creatorcontrib><creatorcontrib>Chatterjee, Shaunak</creatorcontrib><creatorcontrib>Gao, Yan</creatorcontrib><creatorcontrib>Nyako, Sandor</creatorcontrib><creatorcontrib>Yan, Jinyun</creatorcontrib><title>NEAR REAL TIME RELEVANCE RANKER FOR NOTIFICATIONS</title><description>A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system that can fetch, store, and process data in a near-line fashion. It can perform feature generation, processing and scoring of notifications, as well as ranking of the notifications based on their respective relevance scores that are calculated using machine learning techniques. The notification delivery system is positioned centrally with respect to different producers of notifications, such that it can consume centrally-stored information about members' holistic notification experiences.</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDD0c3UMUghydfRRCPH0dQWyfFzDHP2cgSxHP2_XIAU3_yAFP_8QTzdPZ8cQT3-_YB4G1rTEnOJUXijNzaDs5hri7KGbWpAfn1pckJicmpdaEh8abGRgaGlsbGJhauhoaEycKgDZ7Cdm</recordid><startdate>20191031</startdate><enddate>20191031</enddate><creator>Shi, Changji</creator><creator>Tao, Zhongen</creator><creator>Chatterjee, Shaunak</creator><creator>Gao, Yan</creator><creator>Nyako, Sandor</creator><creator>Yan, Jinyun</creator><scope>EVB</scope></search><sort><creationdate>20191031</creationdate><title>NEAR REAL TIME RELEVANCE RANKER FOR NOTIFICATIONS</title><author>Shi, Changji ; Tao, Zhongen ; Chatterjee, Shaunak ; Gao, Yan ; Nyako, Sandor ; Yan, Jinyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2019334851A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2019</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Shi, Changji</creatorcontrib><creatorcontrib>Tao, Zhongen</creatorcontrib><creatorcontrib>Chatterjee, Shaunak</creatorcontrib><creatorcontrib>Gao, Yan</creatorcontrib><creatorcontrib>Nyako, Sandor</creatorcontrib><creatorcontrib>Yan, Jinyun</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shi, Changji</au><au>Tao, Zhongen</au><au>Chatterjee, Shaunak</au><au>Gao, Yan</au><au>Nyako, Sandor</au><au>Yan, Jinyun</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>NEAR REAL TIME RELEVANCE RANKER FOR NOTIFICATIONS</title><date>2019-10-31</date><risdate>2019</risdate><abstract>A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system that can fetch, store, and process data in a near-line fashion. It can perform feature generation, processing and scoring of notifications, as well as ranking of the notifications based on their respective relevance scores that are calculated using machine learning techniques. The notification delivery system is positioned centrally with respect to different producers of notifications, such that it can consume centrally-stored information about members' holistic notification experiences.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2019334851A1 |
source | esp@cenet |
subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
title | NEAR REAL TIME RELEVANCE RANKER FOR NOTIFICATIONS |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T06%3A31%3A12IST&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=Shi,%20Changji&rft.date=2019-10-31&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2019334851A1%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 |