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Google I/O 2017: Machine learning-enabled jobs search service will first arrive in the US
At the ongoing Google I/O 2017 the search giant announced a new reason to use its search service, job hunting. Google CEO, Sundar Pichai announced a new service called “Google for Jobs”that runs within the company Google Search and uses machine learning to search and categorise all types of jobs.
Pichai gave the hundreds of developers attending the event a brief preview of the search engine and how it uses machine learning to find and segregate not just high-end professional jobs but also service industry and entry-level postings.
Google’s thinking behind its new search offering is to simply connect job seekers to the best and closest openings by employers that should also help employers find the right candidates faster.
The process will be a bit slow and in a few weeks from now, Google will begin to recognize when users in the US search for jobs in Google Search by typing job queries.
At the moment, Pichai said that Google is working with traditional job search providers like LinkedIn, Monster and others and provide users with a number of tools to help users filter out their search results by title, category, date posted and even whether its full or part-time.
Additionally, job seekers will also get an idea about the commute times to their potential workplace, which should also help them decide whether they should go in for it to begin with.
So where do the machine learning bits come in?
Well, Google is using machine learning to understand how one job title would be related to other or a particular industry, that should help in clustering them together. So if a user is looking for jobs in “retail”, he/she will find “retail associate” or “store clerk” or “store manager” upon typing the query. The move is simple, yet effective and takes on a task with little risk involved for Google.
Once you are done with your job search, there will also be a simple one-click “Apply” to submit your application.