Method and system for generating recommendations
A method and system for generating recommendations across multiple product or service domains are disclosed. The system includes a plurality of domain servers for handling user events and for interfacing with users via the Internet, a database for storing the user events, and a recommendation engine...
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| creator | Gatz, Scott A Nilsen, Lars P Souders, Steven K Patel, Ashvinkumar P |
| description | A method and system for generating recommendations across multiple product or service domains are disclosed. The system includes a plurality of domain servers for handling user events and for interfacing with users via the Internet, a database for storing the user events, and a recommendation engine. The recommendation engine further includes one or more computer programs containing instructions for collecting the user events across a plurality of product or service domains in the database, receiving a triggering event for recommendations, analyzing the user events to formulate correlations between the user events in the database, and generating recommendations in response to the triggering event in accordance with the correlations between the user events in the database. The disclosure uses user input data from different domains for producing recommendations in any of those domains. The disclosure allows for access to a greater amount of user input data which in turn improves the quality of recommendations. |
| format | Patent |
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The system includes a plurality of domain servers for handling user events and for interfacing with users via the Internet, a database for storing the user events, and a recommendation engine. The recommendation engine further includes one or more computer programs containing instructions for collecting the user events across a plurality of product or service domains in the database, receiving a triggering event for recommendations, analyzing the user events to formulate correlations between the user events in the database, and generating recommendations in response to the triggering event in accordance with the correlations between the user events in the database. The disclosure uses user input data from different domains for producing recommendations in any of those domains. 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The disclosure allows for access to a greater amount of user input data which in turn improves the quality of recommendations.</description><subject>CALCULATING</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>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDDwTS3JyE9RSMxLUSiuLC5JzVVIyy9SSE_NSy1KLMnMS1coSk3Oz81NzUsBcvPzinkYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWIyUGtJfGiwoYGxsaWpsYWTkTExagCDQCvX</recordid><startdate>20190702</startdate><enddate>20190702</enddate><creator>Gatz, Scott A</creator><creator>Nilsen, Lars P</creator><creator>Souders, Steven K</creator><creator>Patel, Ashvinkumar P</creator><scope>EVB</scope></search><sort><creationdate>20190702</creationdate><title>Method and system for generating recommendations</title><author>Gatz, Scott A ; Nilsen, Lars P ; Souders, Steven K ; Patel, Ashvinkumar P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10339538B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2019</creationdate><topic>CALCULATING</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>Gatz, Scott A</creatorcontrib><creatorcontrib>Nilsen, Lars P</creatorcontrib><creatorcontrib>Souders, Steven K</creatorcontrib><creatorcontrib>Patel, Ashvinkumar P</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gatz, Scott A</au><au>Nilsen, Lars P</au><au>Souders, Steven K</au><au>Patel, Ashvinkumar P</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and system for generating recommendations</title><date>2019-07-02</date><risdate>2019</risdate><abstract>A method and system for generating recommendations across multiple product or service domains are disclosed. The system includes a plurality of domain servers for handling user events and for interfacing with users via the Internet, a database for storing the user events, and a recommendation engine. The recommendation engine further includes one or more computer programs containing instructions for collecting the user events across a plurality of product or service domains in the database, receiving a triggering event for recommendations, analyzing the user events to formulate correlations between the user events in the database, and generating recommendations in response to the triggering event in accordance with the correlations between the user events in the database. The disclosure uses user input data from different domains for producing recommendations in any of those domains. The disclosure allows for access to a greater amount of user input data which in turn improves the quality of recommendations.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING 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 | Method and system for generating recommendations |
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