Detecting social graph elements for structured search queries
In particular embodiments, a method includes receiving an unstructured text query, parsing the text query to identify n-grams; determining a score that the n-grams correspond to particular nodes and edges from a social graph, identifying those nodes and edges with a score greater than a threshold sc...
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creator | Cohen Michael Benjamin Li Xiao Azzolini Alisson Gusatti Boucher Maxime Rasmussen Lars Eilstrup Lee Yofay Kari |
description | In particular embodiments, a method includes receiving an unstructured text query, parsing the text query to identify n-grams; determining a score that the n-grams correspond to particular nodes and edges from a social graph, identifying those nodes and edges with a score greater than a threshold score, and then generating structured queries that include references to the identified nodes and edges. |
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determining a score that the n-grams correspond to particular nodes and edges from a social graph, identifying those nodes and edges with a score greater than a threshold score, and then generating structured queries that include references to the identified nodes and edges.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2016</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=20161011&DB=EPODOC&CC=US&NR=9465848B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25551,76302</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20161011&DB=EPODOC&CC=US&NR=9465848B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Cohen Michael Benjamin</creatorcontrib><creatorcontrib>Li Xiao</creatorcontrib><creatorcontrib>Azzolini Alisson Gusatti</creatorcontrib><creatorcontrib>Boucher Maxime</creatorcontrib><creatorcontrib>Rasmussen Lars Eilstrup</creatorcontrib><creatorcontrib>Lee Yofay Kari</creatorcontrib><title>Detecting social graph elements for structured search queries</title><description>In particular embodiments, a method includes receiving an unstructured text query, parsing the text query to identify n-grams; 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Li Xiao ; Azzolini Alisson Gusatti ; Boucher Maxime ; Rasmussen Lars Eilstrup ; Lee Yofay Kari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US9465848B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2016</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Cohen Michael Benjamin</creatorcontrib><creatorcontrib>Li Xiao</creatorcontrib><creatorcontrib>Azzolini Alisson Gusatti</creatorcontrib><creatorcontrib>Boucher Maxime</creatorcontrib><creatorcontrib>Rasmussen Lars Eilstrup</creatorcontrib><creatorcontrib>Lee Yofay Kari</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cohen Michael Benjamin</au><au>Li Xiao</au><au>Azzolini Alisson Gusatti</au><au>Boucher Maxime</au><au>Rasmussen Lars Eilstrup</au><au>Lee Yofay Kari</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Detecting social graph elements for structured search queries</title><date>2016-10-11</date><risdate>2016</risdate><abstract>In particular embodiments, a method includes receiving an unstructured text query, parsing the text query to identify n-grams; determining a score that the n-grams correspond to particular nodes and edges from a social graph, identifying those nodes and edges with a score greater than a threshold score, and then generating structured queries that include references to the identified nodes and edges.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Detecting social graph elements for structured search queries |
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