Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...Full Bio
Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
Data science is the big draw in business schools
885 days ago
7 Effective Methods for Fitting a Liner
895 days ago
3 Thoughts on Why Deep Learning Works So Well
895 days ago
3 million at risk from the rise of robots
895 days ago
Top 10 Hot Artificial Intelligence (AI) Technologies
Google Launches Its Artificial Intelligence-Powered Jobs Search Engine
Looking for a new job is getting easier. Google today launched a new jobs search feature right on its search result pages that lets you search for jobs across virtually all of the major online job boards like LinkedIn, Monster, WayUp, DirectEmployers, CareerBuilder and Facebook and others. Google will also include job listings its finds on a company's homepage.
The idea here is to give job seekers an easy way to see which jobs are available without having to go to multiple sites only to find duplicate postings and lots of irrelevant jobs.
With this new feature, is is now available in English on desktop and mobile, all you have to type in is a query like "jobs near me," "writing jobs" or something along those lines and the search result page will show you the new job search widget that lets you see a broad range of jobs. From there, you can further refine your query to only include full-time positions, for example. When you click through to get more information about a specific job, you also get to see Glassdoor and Indeed ratings for a company.
You can also filter jobs by industry, location, when they were posted, and employer. Once you find a query that works, you can also turn on notifications so you get an immediate alert when a new job is posted that matches your personalized query.
"Finding a job is like dating," Nick Zakrasek, Google's product manager for this project, told me. "Each person has a unique set of preferences and it only takes one person to fill this job."
To create this comprehensive list, Google first has to dedupe all of the duplicate listings that employers post to all of these job sites. Then, its machine learning-trained algorithms sift through and categorize them. These job sites often already use at least some job-specific markup to help search engines understand that something is a job posting (though often, the kind of search engine optimization that worked when Google would only show 10 blue links for this type of query now clutters up the new interface with long, highly detailed job titles, for example).
Once you find a job, Google will direct you to the job site to start the actual application process. For jobs that appeared on multiple sites, Google will link you to the one with the most complete job posting. "We hope this will act as an incentive for sites to share all the pertinent details in their listings for job seekers," a Google spokesperson told me.
As for the actual application process itself, Google doesn't want to get in the way here and it's not handling any of the process after you have found a job on its service.
It's worth noting that Google doesn't try to filter jobs based on what it already knows. As Zakrasek quipped, the fact that you like to go fishing doesn't mean you are looking for a job on a fishing boat, after all.
Google is very clear about the fact that it doesn't want to directly compete with Monster, CareerBuilder and similar sites. It currently has no plans to let employers posts jobs directly to its jobs search engine for example (though that would surely be lucrative). "We want to do what we do best: search," Zakrasek said. "We want the players in the ecosystem to be more successful." Anything beyond that is not in Google's wheelhouse, he added.
Monster.com's CTO Conal Thompson echoed this in a written statement when I asked him how this cooperation with Google will change the competitive landscape for job sites. "Google's new job search product aligns with our core strategy and will allow candidates to explore jobs from across the web and refine search criteria to meet their unique needs," he wrote. "Yes, as with anything, there will be some challenges and adjustments to existing job posting sites; the biggest perhaps being for those that are currently driven by SEO."