Form Field Recommendation Management
Techniques for generating recommendations for form fields are disclosed. A system obtains user interaction data based on a user's interaction with a digital form. The digital form includes form fields mapped to attribute fields of data object resources. The data object resources specify criteri...
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| creator | Alagumalai, Raj Karpana Tran, Van Hieu Nayyar, Karan Thomas, John Ray Ng, Kevin Sullivan, Blake Thomas Bhamidipati, Subash Oberoi, Kuldip |
| description | Techniques for generating recommendations for form fields are disclosed. A system obtains user interaction data based on a user's interaction with a digital form. The digital form includes form fields mapped to attribute fields of data object resources. The data object resources specify criteria for when recommendations should be permitted or prohibited for the attribute fields of the business objects. The system obtains the criteria from the data object resources corresponding to the form fields in the digital form. The system compares the user interaction data with the recommendation enablement criteria to determine whether to allow the generation and presentation of recommendations for respective form fields. If the recommendation enablement criteria are met, the system applies a recommendation-type machine learning model to a set of input data including the user interaction data to generate a set of recommendations for a form field. |
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A system obtains user interaction data based on a user's interaction with a digital form. The digital form includes form fields mapped to attribute fields of data object resources. The data object resources specify criteria for when recommendations should be permitted or prohibited for the attribute fields of the business objects. The system obtains the criteria from the data object resources corresponding to the form fields in the digital form. The system compares the user interaction data with the recommendation enablement criteria to determine whether to allow the generation and presentation of recommendations for respective form fields. 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A system obtains user interaction data based on a user's interaction with a digital form. The digital form includes form fields mapped to attribute fields of data object resources. The data object resources specify criteria for when recommendations should be permitted or prohibited for the attribute fields of the business objects. The system obtains the criteria from the data object resources corresponding to the form fields in the digital form. The system compares the user interaction data with the recommendation enablement criteria to determine whether to allow the generation and presentation of recommendations for respective form fields. If the recommendation enablement criteria are met, the system applies a recommendation-type machine learning model to a set of input data including the user interaction data to generate a set of recommendations for a form field.</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFBxyy_KVXDLTM1JUQhKTc7PzU3NS0ksyczPU_BNzEtMTwXyS3gYWNMSc4pTeaE0N4Oym2uIs4duakF-fGpxQWJyal5qSXxosJGBkYmxsYWRsbGjoTFxqgCP7SeF</recordid><startdate>20241010</startdate><enddate>20241010</enddate><creator>Alagumalai, Raj Karpana</creator><creator>Tran, Van Hieu</creator><creator>Nayyar, Karan</creator><creator>Thomas, John Ray</creator><creator>Ng, Kevin</creator><creator>Sullivan, Blake Thomas</creator><creator>Bhamidipati, Subash</creator><creator>Oberoi, Kuldip</creator><scope>EVB</scope></search><sort><creationdate>20241010</creationdate><title>Form Field Recommendation Management</title><author>Alagumalai, Raj Karpana ; Tran, Van Hieu ; Nayyar, Karan ; Thomas, John Ray ; Ng, Kevin ; Sullivan, Blake Thomas ; Bhamidipati, Subash ; Oberoi, Kuldip</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024338233A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Alagumalai, Raj Karpana</creatorcontrib><creatorcontrib>Tran, Van Hieu</creatorcontrib><creatorcontrib>Nayyar, Karan</creatorcontrib><creatorcontrib>Thomas, John Ray</creatorcontrib><creatorcontrib>Ng, Kevin</creatorcontrib><creatorcontrib>Sullivan, Blake Thomas</creatorcontrib><creatorcontrib>Bhamidipati, Subash</creatorcontrib><creatorcontrib>Oberoi, Kuldip</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alagumalai, Raj Karpana</au><au>Tran, Van Hieu</au><au>Nayyar, Karan</au><au>Thomas, John Ray</au><au>Ng, Kevin</au><au>Sullivan, Blake Thomas</au><au>Bhamidipati, Subash</au><au>Oberoi, Kuldip</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Form Field Recommendation Management</title><date>2024-10-10</date><risdate>2024</risdate><abstract>Techniques for generating recommendations for form fields are disclosed. A system obtains user interaction data based on a user's interaction with a digital form. The digital form includes form fields mapped to attribute fields of data object resources. The data object resources specify criteria for when recommendations should be permitted or prohibited for the attribute fields of the business objects. The system obtains the criteria from the data object resources corresponding to the form fields in the digital form. The system compares the user interaction data with the recommendation enablement criteria to determine whether to allow the generation and presentation of recommendations for respective form fields. If the recommendation enablement criteria are met, the system applies a recommendation-type machine learning model to a set of input data including the user interaction data to generate a set of recommendations for a form field.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Form Field Recommendation Management |
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