RECOMMENDATION SYSTEM WITH MULTIPLE INTEGRATED RECOMMENDERS
A recommendations system is provided in various embodiments for selecting items to recommend to a user. The system includes a recommendation engine with a plurality of recommenders, and each recommender identifies a different type of reason for recommending items. In one embodiment, each recommender...
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| creator | WITT BRETT W KIM SUNG H CHAKRABARTI KUSHAL IONKOV GEORGE M CHAN JAMES D LAM SHING YAN |
| description | A recommendations system is provided in various embodiments for selecting items to recommend to a user. The system includes a recommendation engine with a plurality of recommenders, and each recommender identifies a different type of reason for recommending items. In one embodiment, each recommender retrieves item preference data and generates candidate recommendations responsive to a subset of that data. The recommenders also score the candidate recommendations. In certain embodiments, a normalization engine normalizes the scores of the candidate recommendations provided by each recommender. A candidate selector selects at least a portion of the candidate recommendations based on the normalized scores to provide as recommendations to the user. The candidate selector also outputs the recommendations with associated reasons for recommending the items. |
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| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2009006373A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2009006373A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2009006373A13</originalsourceid><addsrcrecordid>eNrjZLAOcnX29_V19XNxDPH091MIjgwOcfVVCPcM8VDwDfUJ8QzwcVXw9AtxdQ9yDHF1UYArdw0K5mFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgYGlgYGZsbmxo6GxsSpAgDE-iq_</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>RECOMMENDATION SYSTEM WITH MULTIPLE INTEGRATED RECOMMENDERS</title><source>esp@cenet</source><creator>WITT BRETT W ; KIM SUNG H ; CHAKRABARTI KUSHAL ; IONKOV GEORGE M ; CHAN JAMES D ; LAM SHING YAN</creator><creatorcontrib>WITT BRETT W ; KIM SUNG H ; CHAKRABARTI KUSHAL ; IONKOV GEORGE M ; CHAN JAMES D ; LAM SHING YAN</creatorcontrib><description>A recommendations system is provided in various embodiments for selecting items to recommend to a user. The system includes a recommendation engine with a plurality of recommenders, and each recommender identifies a different type of reason for recommending items. In one embodiment, each recommender retrieves item preference data and generates candidate recommendations responsive to a subset of that data. The recommenders also score the candidate recommendations. In certain embodiments, a normalization engine normalizes the scores of the candidate recommendations provided by each recommender. A candidate selector selects at least a portion of the candidate recommendations based on the normalized scores to provide as recommendations to the user. The candidate selector also outputs the recommendations with associated reasons for recommending the items.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2009</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=20090101&DB=EPODOC&CC=US&NR=2009006373A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20090101&DB=EPODOC&CC=US&NR=2009006373A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WITT BRETT W</creatorcontrib><creatorcontrib>KIM SUNG H</creatorcontrib><creatorcontrib>CHAKRABARTI KUSHAL</creatorcontrib><creatorcontrib>IONKOV GEORGE M</creatorcontrib><creatorcontrib>CHAN JAMES D</creatorcontrib><creatorcontrib>LAM SHING YAN</creatorcontrib><title>RECOMMENDATION SYSTEM WITH MULTIPLE INTEGRATED RECOMMENDERS</title><description>A recommendations system is provided in various embodiments for selecting items to recommend to a user. The system includes a recommendation engine with a plurality of recommenders, and each recommender identifies a different type of reason for recommending items. In one embodiment, each recommender retrieves item preference data and generates candidate recommendations responsive to a subset of that data. The recommenders also score the candidate recommendations. In certain embodiments, a normalization engine normalizes the scores of the candidate recommendations provided by each recommender. A candidate selector selects at least a portion of the candidate recommendations based on the normalized scores to provide as recommendations to the user. The candidate selector also outputs the recommendations with associated reasons for recommending the items.</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>2009</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAOcnX29_V19XNxDPH091MIjgwOcfVVCPcM8VDwDfUJ8QzwcVXw9AtxdQ9yDHF1UYArdw0K5mFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgYGlgYGZsbmxo6GxsSpAgDE-iq_</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>WITT BRETT W</creator><creator>KIM SUNG H</creator><creator>CHAKRABARTI KUSHAL</creator><creator>IONKOV GEORGE M</creator><creator>CHAN JAMES D</creator><creator>LAM SHING YAN</creator><scope>EVB</scope></search><sort><creationdate>20090101</creationdate><title>RECOMMENDATION SYSTEM WITH MULTIPLE INTEGRATED RECOMMENDERS</title><author>WITT BRETT W ; KIM SUNG H ; CHAKRABARTI KUSHAL ; IONKOV GEORGE M ; CHAN JAMES D ; LAM SHING YAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2009006373A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2009</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>WITT BRETT W</creatorcontrib><creatorcontrib>KIM SUNG H</creatorcontrib><creatorcontrib>CHAKRABARTI KUSHAL</creatorcontrib><creatorcontrib>IONKOV GEORGE M</creatorcontrib><creatorcontrib>CHAN JAMES D</creatorcontrib><creatorcontrib>LAM SHING YAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WITT BRETT W</au><au>KIM SUNG H</au><au>CHAKRABARTI KUSHAL</au><au>IONKOV GEORGE M</au><au>CHAN JAMES D</au><au>LAM SHING YAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>RECOMMENDATION SYSTEM WITH MULTIPLE INTEGRATED RECOMMENDERS</title><date>2009-01-01</date><risdate>2009</risdate><abstract>A recommendations system is provided in various embodiments for selecting items to recommend to a user. The system includes a recommendation engine with a plurality of recommenders, and each recommender identifies a different type of reason for recommending items. In one embodiment, each recommender retrieves item preference data and generates candidate recommendations responsive to a subset of that data. The recommenders also score the candidate recommendations. In certain embodiments, a normalization engine normalizes the scores of the candidate recommendations provided by each recommender. A candidate selector selects at least a portion of the candidate recommendations based on the normalized scores to provide as recommendations to the user. The candidate selector also outputs the recommendations with associated reasons for recommending the items.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | RECOMMENDATION SYSTEM WITH MULTIPLE INTEGRATED RECOMMENDERS |
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