RECOMMENDATION RANKING BASED ON LOCATIONAL RELEVANCE
One or more techniques and/or systems are provided for ranking recommendations within a set of recommendations. For example, a set of locational relevance boundaries may be generated and/or configured for ranking the set of recommendation. For example, a locational relevance boundary may adjust a ra...
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 | MCGOVERN ANDREW P KEDIA GAUTAM MCDONALD KIERAN RICHARD JHA ABHISHEK REKHI KARAN SINGH |
| description | One or more techniques and/or systems are provided for ranking recommendations within a set of recommendations. For example, a set of locational relevance boundaries may be generated and/or configured for ranking the set of recommendation. For example, a locational relevance boundary may adjust a rank of a recommendation using a rank influence (e.g., a linear function, a step function, a numerical value, and/or any other function used to increase, decrease, or assign a value to the rank based upon a current location of the user). The locational relevance boundary may be applied based upon the current location of the user corresponding to one or more threshold distances from a target recommendation location. For example, a logarithmic function may be applied to a rank of a theater recommendation when the user is less than 1.2 miles from the theater. Ranked recommendations may be provided to the user. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2015269152A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2015269152A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2015269152A13</originalsourceid><addsrcrecordid>eNrjZDAJcnX29_V19XNxDPH091MIcvTz9vRzV3ByDHZ1UQAK-Pg7g2UcfRSCXH1cwxz9nF15GFjTEnOKU3mhNDeDsptriLOHbmpBfnxqcUFicmpeakl8aLCRgaGpkZklkHA0NCZOFQBibChH</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>RECOMMENDATION RANKING BASED ON LOCATIONAL RELEVANCE</title><source>esp@cenet</source><creator>MCGOVERN ANDREW P ; KEDIA GAUTAM ; MCDONALD KIERAN RICHARD ; JHA ABHISHEK ; REKHI KARAN SINGH</creator><creatorcontrib>MCGOVERN ANDREW P ; KEDIA GAUTAM ; MCDONALD KIERAN RICHARD ; JHA ABHISHEK ; REKHI KARAN SINGH</creatorcontrib><description>One or more techniques and/or systems are provided for ranking recommendations within a set of recommendations. For example, a set of locational relevance boundaries may be generated and/or configured for ranking the set of recommendation. For example, a locational relevance boundary may adjust a rank of a recommendation using a rank influence (e.g., a linear function, a step function, a numerical value, and/or any other function used to increase, decrease, or assign a value to the rank based upon a current location of the user). The locational relevance boundary may be applied based upon the current location of the user corresponding to one or more threshold distances from a target recommendation location. For example, a logarithmic function may be applied to a rank of a theater recommendation when the user is less than 1.2 miles from the theater. Ranked recommendations may be provided to the user.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2015</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=20150924&DB=EPODOC&CC=US&NR=2015269152A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20150924&DB=EPODOC&CC=US&NR=2015269152A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MCGOVERN ANDREW P</creatorcontrib><creatorcontrib>KEDIA GAUTAM</creatorcontrib><creatorcontrib>MCDONALD KIERAN RICHARD</creatorcontrib><creatorcontrib>JHA ABHISHEK</creatorcontrib><creatorcontrib>REKHI KARAN SINGH</creatorcontrib><title>RECOMMENDATION RANKING BASED ON LOCATIONAL RELEVANCE</title><description>One or more techniques and/or systems are provided for ranking recommendations within a set of recommendations. For example, a set of locational relevance boundaries may be generated and/or configured for ranking the set of recommendation. For example, a locational relevance boundary may adjust a rank of a recommendation using a rank influence (e.g., a linear function, a step function, a numerical value, and/or any other function used to increase, decrease, or assign a value to the rank based upon a current location of the user). The locational relevance boundary may be applied based upon the current location of the user corresponding to one or more threshold distances from a target recommendation location. For example, a logarithmic function may be applied to a rank of a theater recommendation when the user is less than 1.2 miles from the theater. Ranked recommendations may be provided to the user.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2015</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAJcnX29_V19XNxDPH091MIcvTz9vRzV3ByDHZ1UQAK-Pg7g2UcfRSCXH1cwxz9nF15GFjTEnOKU3mhNDeDsptriLOHbmpBfnxqcUFicmpeakl8aLCRgaGpkZklkHA0NCZOFQBibChH</recordid><startdate>20150924</startdate><enddate>20150924</enddate><creator>MCGOVERN ANDREW P</creator><creator>KEDIA GAUTAM</creator><creator>MCDONALD KIERAN RICHARD</creator><creator>JHA ABHISHEK</creator><creator>REKHI KARAN SINGH</creator><scope>EVB</scope></search><sort><creationdate>20150924</creationdate><title>RECOMMENDATION RANKING BASED ON LOCATIONAL RELEVANCE</title><author>MCGOVERN ANDREW P ; KEDIA GAUTAM ; MCDONALD KIERAN RICHARD ; JHA ABHISHEK ; REKHI KARAN SINGH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2015269152A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2015</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>MCGOVERN ANDREW P</creatorcontrib><creatorcontrib>KEDIA GAUTAM</creatorcontrib><creatorcontrib>MCDONALD KIERAN RICHARD</creatorcontrib><creatorcontrib>JHA ABHISHEK</creatorcontrib><creatorcontrib>REKHI KARAN SINGH</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MCGOVERN ANDREW P</au><au>KEDIA GAUTAM</au><au>MCDONALD KIERAN RICHARD</au><au>JHA ABHISHEK</au><au>REKHI KARAN SINGH</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>RECOMMENDATION RANKING BASED ON LOCATIONAL RELEVANCE</title><date>2015-09-24</date><risdate>2015</risdate><abstract>One or more techniques and/or systems are provided for ranking recommendations within a set of recommendations. For example, a set of locational relevance boundaries may be generated and/or configured for ranking the set of recommendation. For example, a locational relevance boundary may adjust a rank of a recommendation using a rank influence (e.g., a linear function, a step function, a numerical value, and/or any other function used to increase, decrease, or assign a value to the rank based upon a current location of the user). The locational relevance boundary may be applied based upon the current location of the user corresponding to one or more threshold distances from a target recommendation location. For example, a logarithmic function may be applied to a rank of a theater recommendation when the user is less than 1.2 miles from the theater. Ranked recommendations may be provided to the user.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2015269152A1 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | RECOMMENDATION RANKING BASED ON LOCATIONAL RELEVANCE |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T17%3A28%3A43IST&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=MCGOVERN%20ANDREW%20P&rft.date=2015-09-24&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2015269152A1%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 |