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A technique for occupation, training data, applied in the field of search engines

Active Publication Date: 2021-11-09
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above-described ways in which a search engine may identify search results in response to a query are exemplary only

Method used

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Examples

Experimental program
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Embodiment Construction

[0022] figure 1 is a scenario diagram of an example of a system 100 that facilitates job search and retrieval using a job recognition model 110 .

[0023] System 100 includes a job recognition model 110 and at least one user device displaying a user interface 160 . The job identification model 110 may be configured to obtain job position data from a plurality of different computers via one or more networks, such as a WAN, LAN, cellular network, the Internet, or combinations thereof. For example, job identification model 110 may obtain ( 111 ) job position data associated with a first employer of senior programmer 130 , business sales 132 , and executive 134 from a first computer via one or more networks. Similarly, job identification model 110 may obtain ( 112 ) job position data for "Software Engineer" 140 , "Salesman" 142 , and "CEO" 144 from a second computer via one or more networks, for example. Also, for example, job identification model 110 may obtain (113) from a thi...

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PUM

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Abstract

Methods, systems, and apparatus including a computer program encoded on a storage device for performing a job opportunity search. In one aspect, a system includes data processing apparatus and a computer readable storage device having stored thereon instructions that, when executed by the data processing apparatus, cause the data processing apparatus to perform operations. The operations include defining a vocabulary of vectors, defining an occupational classification comprising a plurality of different occupations, obtaining a plurality of labeled training data items, wherein each labeled training data item is associated with at least (i) a job title, and (ii) an occupation, for a corresponding Each of the labeled training data items of generates an occupation vector including feature weights for each corresponding term in the vector vocabulary, and based on the occupation of the labeled training data item used to generate the occupation vector, each corresponding occupation vector Associated with an occupation in the Occupational Taxonomy.

Description

technical field [0001] This manual refers to search engines. Background technique [0002] A search engine can generally be described as any program that runs searches and retrieves stored data. However, the search engine can be configured in various ways depending on the task at hand. For example, some search engines can be configured to perform keyword-based searches and retrievals. Such search engines may identify relevant search results based at least in part on the number of times a search term occurs in a particular resource or on metadata for a particular resource. Alternatively or in addition, some search engines may identify search results as responsive to a query because a resource provider pays the search engine provider a sum of money to return the provider's resources in response to a search query that includes a particular search term. However, the above-described ways in which a search engine may identify search results in response to a query are merely exe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/953G06F16/33G06N20/00
CPCG06F16/3334G06F16/951G06N20/00G06N5/022G06Q10/1053G06F16/9535G06F16/24578G06Q10/105
Inventor S.R.加德里陶学军田野M.考特尼陈佩君C.波斯
Owner GOOGLE LLC