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Suvash Sedhain | Hashing for large scale similarity

Similarity computation is a very common task in real-world machine learning and data mining problems such as recommender systems, spam detection, online advertising etc. Consider a tweet recommendation problem where one has to find tweets similar to the tweet user previously clicked. This problem becomes extremely challenging when there are billions of tweets created each day.