CATEGORICAL FEATURE SELECTION FOR RANKING MODELS

• Main Authors: Tripathi, Pushkar, Timmaraju, Aditya Srinivas
• Format: Patent
• Language: English
• Published: 27.04.2023
• 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

Machine Learning based ranking models are ubiquitous in powering recommendation engines at internet companies. These models typically use a combination of real-valued numerical and categorical features to generate predictions. Feature selection may be a widely encountered problem in this setting, th...