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Refined Search With Machine Learning

A technology for refinement and search results, applied in machine learning, instrumentation, network data indexing, etc., can solve problems such as unsatisfactory

Pending Publication Date: 2019-12-27
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, assume that the results provided (the person's insurance provider and the local doctor) are not the desired results
In this example, and often in billions of searches worldwide, the results are not what people want

Method used

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Embodiment Construction

[0022] overview

[0023] This document describes techniques that enable refined search through machine learning. These techniques improve computer-assisted searches by enabling selection of search criteria used in previous searches and providing refined search results based on the selections. Furthermore, the machine learning components of the search engine can be altered based on the selection and indication of the desirability of the refined search results to improve future search results.

[0024] For example, consider the case where someone chooses to view an article on a web page. This user activity is sufficient for the search engine to provide search results based on the title of the article and the text in the article. Suppose the user chooses the Gotham Times website to read an article about what to do if you have a day and a half to visit Oakland, California. Suppose the search engine uses the term Oakland in the title and the four terms Cesar Chavez Park, Julia M...

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Abstract

This document describes techniques and devices for a refined search with machine learning. These techniques improve computer-aided searches through enabling selection of search criteria used in a prior search and providing a refined search result based on that selection. Furthermore, a machine-learning component of a search engine can be altered to improve future search results based on the selection and an indication of the desirability of the refined search result.

Description

[0001] Cross References to Related Applications [0002] This application claims priority under 35 U.S.C. §119(e) to U.S. Provisional Patent Application 62 / 599,603, filed December 15, 2017, the disclosure of which is hereby incorporated by reference in its entirety. Background technique [0003] Computer-aided search is not only commonplace for billions of people, but almost essential to many people's daily lives. Therefore, conventional search techniques use complex search algorithms to provide better search results and better suit people's search needs. [0004] However, even with these sophisticated search algorithms, conventional search techniques may not provide desired results. This could be due to a lack of information, or more often, a failure to use different parts of the information correctly, such as which term has higher confidence than others and how the different terms and user activity are correlated to identify important content and how they are used to obtai...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/951
CPCG06F16/951G06F16/334G06N20/00
Inventor 戈尔登·戈帕尔·克里希南卡尔·芒努斯·博尔格米罗斯拉夫·博伊茨亨利·欧文·牛顿-邓恩雅各布·M·克林克尔敏迪·佩雷拉德温·曼库索丹尼尔·琼·亨·帕克丽莉·辛
Owner GOOGLE LLC