The YouTube video recommendation system | Zendy

James Davidson | Zendy; Benjamin Liebald | Zendy; Junning Liu | Zendy; Palash Nandy | Zendy; Taylor Van Vleet | Zendy; Ullas Gargi | Zendy; S. K. Gupta | Zendy; Yu He | Zendy; M.L. Lambert | Zendy; Blake Livingston | Zendy; Dasarathi Sampath | Zendy

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The YouTube video recommendation system

Author(s) -

James Davidson,

Benjamin Liebald,

Junning Liu,

Palash Nandy,

Taylor Van Vleet,

Ullas Gargi,

S. K. Gupta,

Yu He,

M.L. Lambert,

Blake Livingston,

Dasarathi Sampath

Publication year - 2010

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/1864708.1864770

Subject(s) - computer science , online video , recommender system , multimedia , world wide web

We discuss the video recommendation system in use at YouTube, the world's most popular online video community. The system recommends personalized sets of videos to users based on their activity on the site. We discuss some of the unique challenges that the system faces and how we address them. In addition, we provide details on the experimentation and evaluation framework used to test and tune new algorithms. We also present some of the findings from these experiments.

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