LinkedIn is a website for professional networking for employers, job-seekers, and recruiters. They also provide a marketplace for job postings.
The target users are employers, job-seekers, recruiters and networkers.
To find a job or find the candidate perfect for the job. Also to build networks with other people.
To aid them in selecting most qualified candidates for the job and to recruit more people into the Linkedin system.
Recommends jobs closer to current position to you.
Also recommends jobs that you have searched previously.
Suggests new network connections within your company name, industry and the degrees of connections(1st, 2nd , 3rd, etc)
Also recommends people that in your industry that mentor you.
At LinkedIn, we have observed significant lifts in user engagement and other business metrics in many product domains through Photon-ML. To provide a concrete example, note how we make personalized job recommendations using a Generalized Additive Mixed-Effect (GAME) model, which generated 20% to 40% more job applications for job seekers in our online A/B experiments.
Source: https://www.kdnuggets.com/2017/10/linkedin-personalized-recommendations-photon-ml.html
I will like to propose that the job search should display the response rates of each company and the response time. This can help weed out the companies that more interested in you.
I will hope they add a ranking system to network connections that is more relevant to you, instead of provide so many options right now.