On Aug. 15, 2016, the Machine Learning Algorithm team at LinkedIn gave a hands-on tutorial on how to build recommender systems using our recently open-sourced machine learning library Photon ML at the KDD conference. We were excited to see a large crowd that could not fit into the room gathered to learn this topic and the strong interest in the data mining...
Recommender Systems Articles
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- Topics:
- machine learning,
- Photon ML,
- Recommender Systems
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LinkedIn makes extensive use of item-based collaborative filtering, which showcases relationships between pairs of items based on the wisdom of the crowd. As an example, each member's profile on LinkedIn has a "People Who Viewed This Profile Also Viewed" recommendation module. Known as a profile browsemap, this module is a navigational aid displaying other...
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Search plays an important role in online social networks such as LinkedIn, as it provides an essential mechanism for discovering members and content on the network. One way to improve the member's search experience and to help them find relevant results is to show related search recommendations: We recently wrote a paper about Metaphor, the related search...
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- Recommender Systems,
- Paper,
- Search,
- Analytics