LinkedIn is a social media platform for working professionals. People use LinkedIn to know about industry trends, job seeking, and growing their professional network. So, if you want to know how LinkedIn uses Data Science, this article is for you. In this article, I will introduce how LinkedIn uses Data Science for its business as a social media platform for working professionals.
Here’s How LinkedIn Uses Data Science
Here are some ways how LinkedIn uses Data Science for its business as a social media platform for working professionals.
Recommendations: People You May Know
LinkedIn has a dedicated section of people you may know where you see people of your professional background and interests so that you can find the right people for your professional network.
The People You May Know section is powered by Machine Learning models trained on data such as your network graph and interactions on LinkedIn to generate relevant recommendations for your network.
LinkedIn’s recommendation algorithm works by estimating the propensity to connect with members using a combination of linear and non-linear models. The ultimate goal is to help you find people that can be a relevant addition to your network.
Job Matching
LinkedIn uses Data Science and Machine Learning techniques to recommend relevant jobs to its members by matching their profile with the job.
LinkedIn uses your job-seeking history such as:
- the jobs you have applied for
- saved for later
- jobs you have left
This data helps LinkedIn match your profile to job postings. LinkedIn also uses NLP techniques to extract relevant information from your profile and match it with the job description. The more your profile information matches the description, the more likely the job will be recommended to you.
LinkedIn Analytics
LinkedIn also provides content analytics by gathering insights about your posts, articles, and videos. This feature helps LinkedIn members analyze the reach of their posts on LinkedIn.
The analytics feature of LinkedIn captures contextual information from the LinkedIn Knowledge Graph and provides insights on audience demographics, giving members the ability to gather insights about their content’s reach and audience.
Summary
So below are some ways how Data Science helps LinkedIn for its business as a social media platform for working professionals:
- LinkedIn has a dedicated section of people you may know where you see people of your professional background and interests so that you can find the right people for your professional network. It is powered by Machine Learning models trained on data such as your network graph and interactions on LinkedIn to generate relevant recommendations for your network.
- LinkedIn uses Data Science and Machine Learning techniques to recommend relevant jobs to its members by matching their profile with the job.
- LinkedIn also provides content analytics by gathering insights about your posts, articles, and videos. This feature helps LinkedIn members analyze the reach of their posts on LinkedIn.
I hope you liked this article on how LinkedIn uses Data Science for its business as a social media platform for working professionals. Feel free to ask valuable questions in the comments section below.
