Recommendations at YouTube
Lets take a look at some of the practical papers published for recommendation algorithms at YouTube. Paper 1: Davidson et al., The YouTube Video Recommendation System One of the oldest papers around the topic is The Youtube Recommendation System . The paper mentions that users come to Youtube for either for direct navigation to locate the single video they found elsewhere or for search and goal directed browse to find specific videos around a topic or just to be entertained by the content they find. The recommender is a top-N recommender rather than a predictor. Challenges: poor metadata corpus size very large mostly short form (under 10 min length) user interactions are relatively short and noisy videos have a short life cycle going from upload to viral in the order of days requiring constant freshness The goal is to find recommendations that are reasonably recent and fresh as well as relevant and diverse to the users taste. The input data can be divided into two p