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Homework answers / question archive / If you've been on YouTube, Netflix, Spotify, or other online media services, you may have noticed those "recommended for you" videos, movies, or music

If you've been on YouTube, Netflix, Spotify, or other online media services, you may have noticed those "recommended for you" videos, movies, or music

Computer Science

If you've been on YouTube, Netflix, Spotify, or other online media services, you may have noticed those "recommended for you" videos, movies, or music. Doesn't it feel great to have a selection personalized only for you? It's easy. It's time-saving. Overall, a satisfying user experience, right? Have you also noticed that the more videos and movies you watched, the better those recommendations became? As the media and entertainment space is filled by strong competitors, the ability to deliver the top user experience will be the winning factor. 

Big data, with its scalability and power to process massive amounts of both structured (eg. video titles users search for, music genre they prefer) and unstructured data (eg. user viewing/listening patterns), can enable companies to analyze billions of clicks and viewing data from you and other users like you for the best recommendations. Over time, through machine learning and predictive analytics, the recommendations become better tailored to the user's taste. 

 

Case #4: Automated Candidate Placement in Recruiting

Recruiters often feel they don't have the (right) tools in the race to place candidates as quickly as possible in a competitive environment. As matching resume keywords with job descriptions no longer provides the desired results, new approaches to using big data for recruiting have allowed recruiters to speed up and automate the placement process like never before.

A big data recruitment platform can mine from internal databases and provide a 360-degree view of a candidate, such as education, experience, skill sets, job titles, certifications, geography, and anything else recruiters can think of, then compare them to the company's past hiring experience, salaries, previously successful candidates, etc. to identify the "best match." These platforms can even go beyond matching to anticipate recruiting needs and suggest candidates before positions are posted, allowing recruiters to be more proactive - a competitive edge against their competitors.  

 

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