Machine-Learning Data Processing System with Current Value Model
An embodiment provides a data processing system comprising a processor coupled to a memory for storing a machine learning current value model trained to output a prediction of current value, the machine learning current value model representing a set of vehicle features and historical secondary mark...
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| creator | Boren, David Scott Dalinina, Ruslana Fortin, Paul Joseph Nguyen, David Luan Barnwal, Abhishek |
| description | An embodiment provides a data processing system comprising a processor coupled to a memory for storing a machine learning current value model trained to output a prediction of current value, the machine learning current value model representing a set of vehicle features and historical secondary market transaction values. The processor is configured to create a set of inventory records. The processor is further configured to extract a set of vehicle attributes for a respective vehicle from an inventory record, create a feature vector for the respective vehicle based on the set of vehicle attributes extracted from the inventory record, determine a current value for the respective vehicle by processing the feature vector for the respective vehicle using the machine learning current value model and update the inventory record for the respective vehicle by adding the current value for the respective vehicle to the inventory record for the respective vehicle. |
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| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020342478A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020342478A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020342478A13</originalsourceid><addsrcrecordid>eNrjZHDwTUzOyMxL1fVJTSzKy8xLV3BJLElUCCjKT04tLgbxgyuLS1JzFcozSzIUnEuLilLzShTCEnNKUxV881NSc3gYWNMSc4pTeaE0N4Oym2uIs4duakF-fGpxQWJyal5qSXxosJGBkYGxiZGJuYWjoTFxqgBPBTG2</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Machine-Learning Data Processing System with Current Value Model</title><source>esp@cenet</source><creator>Boren, David Scott ; Dalinina, Ruslana ; Fortin, Paul Joseph ; Nguyen, David Luan ; Barnwal, Abhishek</creator><creatorcontrib>Boren, David Scott ; Dalinina, Ruslana ; Fortin, Paul Joseph ; Nguyen, David Luan ; Barnwal, Abhishek</creatorcontrib><description>An embodiment provides a data processing system comprising a processor coupled to a memory for storing a machine learning current value model trained to output a prediction of current value, the machine learning current value model representing a set of vehicle features and historical secondary market transaction values. The processor is configured to create a set of inventory records. The processor is further configured to extract a set of vehicle attributes for a respective vehicle from an inventory record, create a feature vector for the respective vehicle based on the set of vehicle attributes extracted from the inventory record, determine a current value for the respective vehicle by processing the feature vector for the respective vehicle using the machine learning current value model and update the inventory record for the respective vehicle by adding the current value for the respective vehicle to the inventory record for the respective vehicle.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2020</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=20201029&DB=EPODOC&CC=US&NR=2020342478A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201029&DB=EPODOC&CC=US&NR=2020342478A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Boren, David Scott</creatorcontrib><creatorcontrib>Dalinina, Ruslana</creatorcontrib><creatorcontrib>Fortin, Paul Joseph</creatorcontrib><creatorcontrib>Nguyen, David Luan</creatorcontrib><creatorcontrib>Barnwal, Abhishek</creatorcontrib><title>Machine-Learning Data Processing System with Current Value Model</title><description>An embodiment provides a data processing system comprising a processor coupled to a memory for storing a machine learning current value model trained to output a prediction of current value, the machine learning current value model representing a set of vehicle features and historical secondary market transaction values. The processor is configured to create a set of inventory records. The processor is further configured to extract a set of vehicle attributes for a respective vehicle from an inventory record, create a feature vector for the respective vehicle based on the set of vehicle attributes extracted from the inventory record, determine a current value for the respective vehicle by processing the feature vector for the respective vehicle using the machine learning current value model and update the inventory record for the respective vehicle by adding the current value for the respective vehicle to the inventory record for the respective vehicle.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDwTUzOyMxL1fVJTSzKy8xLV3BJLElUCCjKT04tLgbxgyuLS1JzFcozSzIUnEuLilLzShTCEnNKUxV881NSc3gYWNMSc4pTeaE0N4Oym2uIs4duakF-fGpxQWJyal5qSXxosJGBkYGxiZGJuYWjoTFxqgBPBTG2</recordid><startdate>20201029</startdate><enddate>20201029</enddate><creator>Boren, David Scott</creator><creator>Dalinina, Ruslana</creator><creator>Fortin, Paul Joseph</creator><creator>Nguyen, David Luan</creator><creator>Barnwal, Abhishek</creator><scope>EVB</scope></search><sort><creationdate>20201029</creationdate><title>Machine-Learning Data Processing System with Current Value Model</title><author>Boren, David Scott ; Dalinina, Ruslana ; Fortin, Paul Joseph ; Nguyen, David Luan ; Barnwal, Abhishek</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020342478A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Boren, David Scott</creatorcontrib><creatorcontrib>Dalinina, Ruslana</creatorcontrib><creatorcontrib>Fortin, Paul Joseph</creatorcontrib><creatorcontrib>Nguyen, David Luan</creatorcontrib><creatorcontrib>Barnwal, Abhishek</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Boren, David Scott</au><au>Dalinina, Ruslana</au><au>Fortin, Paul Joseph</au><au>Nguyen, David Luan</au><au>Barnwal, Abhishek</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Machine-Learning Data Processing System with Current Value Model</title><date>2020-10-29</date><risdate>2020</risdate><abstract>An embodiment provides a data processing system comprising a processor coupled to a memory for storing a machine learning current value model trained to output a prediction of current value, the machine learning current value model representing a set of vehicle features and historical secondary market transaction values. The processor is configured to create a set of inventory records. The processor is further configured to extract a set of vehicle attributes for a respective vehicle from an inventory record, create a feature vector for the respective vehicle based on the set of vehicle attributes extracted from the inventory record, determine a current value for the respective vehicle by processing the feature vector for the respective vehicle using the machine learning current value model and update the inventory record for the respective vehicle by adding the current value for the respective vehicle to the inventory record for the respective vehicle.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Machine-Learning Data Processing System with Current Value Model |
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