As members explore the many products of LinkedIn, including the feed, homepage, Learning, Recruiter, and Sales Navigator, to name a few, they often experience new exciting features, which, from time to time, may lead to questions around use. To help our members and deliver the assistance they need, we use deep learning-powered Natural Language Processing (NLP)...
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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 questions, and empowering them to be more productive and successful. Despite having a wealth of customized content, members are still faced with a problem when they need help: they must stop what they’re doing and go to the Help...
- Topics:
- Search,
- Product Design,
- Ember
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Faceted search is a vital part of LinkedIn’s search experience. It’s a key feature in the exploratory searches done by job seekers, recruiters and market analysts when trying to find the information they need on LinkedIn. It provides structure to search results, which enables fast navigation and discovery. When it comes to a great search experience, there are...
- Topics:
- Faceting,
- Galene,
- Information Retrieval,
- infrastructure,
- Search
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LinkedIn started in 2003 with the goal of connecting to your network for better job opportunities. It had only 2,700 members the first...
- Topics:
- scale,
- rest.li,
- Play,
- Open Source,
- Galene,
- Pinot,
- engineering culture,
- ESPRESSO,
- Kafka,
- inversion,
- Architecture,
- Voldemort,
- operations,
- Java,
- Search,
- Samza
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At a recent invitation-only gathering about Search technology hosted by LinkedIn’s Bangalore office, Igor Perisic, VP Engineering at...
- Topics:
- Galene,
- scalability,
- Search,
- Bangalore,
- SNA
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Join us for a talk on LinkedIn's approach to search, how we deliver highly personalized results at scale and some of our some recent...
- Topics:
- machine learning,
- Search,
- Personalization