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Video suggestion and discovery for youtube: taking random walks through the view graph

10 years 7 months ago
Video suggestion and discovery for youtube: taking random walks through the view graph
The rapid growth of the number of videos in YouTube provides enormous potential for users to find content of interest to them. Unfortunately, given the difficulty of searching videos, the size of the video repository also makes the discovery of new content a daunting task. In this paper, we present a novel method based upon the analysis of the entire user?video graph to provide personalized video suggestions for users. The resulting algorithm, termed Adsorption, provides a simple method to efficiently propagate preference information through a variety of graphs. We extensively test the results of the recommendations on a three month snapshot of live data from YouTube. Categories and Subject Descriptors H.3.3 [Information Systems]: Information Storage and Retrieval--Information Search and Retrieval General Terms Algorithms Keywords Recommendation systems, label propagation, collaborative filtering, random walks, video search
Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Ji
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly
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