Search functionality is a core part of most data-driven products, and is used widely at LinkedIn. We have long provided a central platform for search functionalities; however, it was not fully managed in the sense that the application teams needed to own and operate the corresponding resources. As data needs grow and an increasingly high number of products want...
Search Articles
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- Topics:
- Search,
- Cloud Computing
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Co-authors: Amol Chandla, Jagadeesan Sundaresan, Siddharth Pratap Singh, Saipriya Kumar, and Anand Kishore At LinkedIn Search, we strive to serve results that are most relevant to a member’s query, from a wide variety of verticals such as jobs they may be interested in, people they may want to connect with, or posts that are trending within their industry. Post...
- Topics:
- machine learning,
- Search
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Co-authors: Rashmi Jain and Sonali Bhadra Search on LinkedIn is an essential part of our members’ experience, with more than 44% of members who visit the site each week performing at least one search. We’re continually working to improve that experience and recently introduced a new streamlined and intuitive search experience that brings together people, jobs,...
- Topics:
- Search,
- Developer Productivity,
- Product Design
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Co-authors: Suruchi Shah and Hari Shankar The rise of instant messaging has changed how we communicate. Compared to the back-and-forth...
- Topics:
- Performance,
- infrastructure,
- Architecture,
- Search
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As members explore the many products of LinkedIn, including the feed, homepage, Learning, Recruiter, and Sales Navigator, to name a...
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LinkedIn’s Help Center boasts a personalized experience aimed at getting our members the help they need, finding the answers to their...
- Topics:
- trust engineering,
- Search,
- Product Design,
- Ember