The company says it’s using machine learning to help organize listings from different sources
Earlier this year at Google I/O, the search giant announced a new initiative named Google for Jobs. The goal is simple: leverage Google’s skills at organizing information to make finding jobs easier. Today, one of the first steps in this project goes live, with the launch of an improved job search feature rolling out on mobile and desktop.
The feature is pretty simple. For searches with “clear intent” (e.g., “head of catering jobs in NYC” or “entry-level jobs in DC”), Google shows a preview of job listings scraped from various sources. These include job sites like LinkedIn, Monster, and Glassdoor, but also information hosted on company’s own websites — if they’ve updated their sitemap, that is. Users can then click on results to get more information, and filter listings by criteria like location, employer, and the date of the listing.
At I/O, Google said it would be using machine learning to help organize and sort this data, automatically clustering similar jobs for example. However, it’s not clear exactly how these tools are being deployed at this point in time (or if they’ll substantially improve the experience). The main advantage seems to be simply that Google is promising to put all relevant job listings in one place, while removing any duplicates.
Source: The Verge Read More
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