Co-authors: Val Markovic and Vivek Nelamangala Serving a feed of relevant, personalized content to 500 million members is a massive undertaking. Accordingly, our feed infrastructure is constantly evolving to take advantage of new relevance models, new features, and more efficient ways of scaling our infrastructure. In this post, we describe the Activity Graph,...
relevance Articles
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- Topics:
- relevance,
- Feed Personalization
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Co-authors: Rushi Bhatt and Bari Saltman LinkedIn’s home feed is the starting point of a member’s journey on LinkedIn. Millions of members see the feed as their first impression. The feed is also instrumental to delivering on LinkedIn’s core value propositions: it allows members to stay connected with their network by following network activities, to build their...
- Topics:
- relevance,
- machine learning,
- Feed Personalization
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Coauthors: Shivani Rao, Gungor Polatkan We recently launched LinkedIn Learning, an online learning platform that enables students and professionals to take courses and learn the skills required to meet their career goals. As part of this platform, we provide personalized course recommendations. A/B testing indicates that we have 58% higher engagement rate when...
- Topics:
- machine learning,
- relevance,
- Product Design
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We believe LinkedIn can offer personalized insights into job opportunities in a way that no other website can. On our new Job Details...
- Topics:
- relevance
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Machine learning is a key component of LinkedIn’s relevance-driven products. We use machine learning to train the ranking algorithms...
- Topics:
- Spark,
- Relevance Science,
- Dr. Elephant,
- Open Source,
- relevance,
- Photon ML,
- machine learning
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LinkedIn wouldn't be the company it is today without the engineers who built it. We have no shortage of talented individuals in...
- Topics:
- relevance,
- engineering culture,
- Relevance Science