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1. US20210125108 - TRAINING A RANKING MODEL

Office
United States of America
Application Number 15333086
Application Date 24.10.2016
Publication Number 20210125108
Publication Date 29.04.2021
Publication Kind A1
IPC
G06N 99/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
99Subject matter not provided for in other groups of this subclass
G06F 17/30
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
30Information retrieval; Database structures therefor
CPC
G06F 17/30011
G06N 99/005
Applicants Google LLC
Inventors Donald Arthur Metzler, JR.
Xuanhui Wang
Marc Alexander Najork
Michael Bendersky
Title
(EN) TRAINING A RANKING MODEL
Abstract
(EN)

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a ranking machine learning model. In one aspect, a method includes the actions of receiving training data for a ranking machine learning model, the training data including training examples, and each training example including data identifying: a search query, result documents from a result list for the search query, and a result document that was selected by a user from the result list, receiving position data for each training example in the training data, the position data identifying a respective position of the selected result document in the result list for the search query in the training example; determining, for each training example in the training data, a respective selection bias value; and determining a respective importance value for each training example from the selection bias value for the training example, the importance value.