Youtube recommendations are already online RL, is intensive learning far from a large-scale application in the recommended advertising industry?
The following articles are derived from the Deep Transfer Gate , the author depth transmitter door
Focus on depth recommendation systems and CTR estimates
Introduction: This article is the sixth article in the "Deep Recommendation Systems" column, and this series will introduce the most cutting-edge changes to the recommendation system industry, driven by the power of deep learning. Based on the latest papers of several summits in 2019, this paper summarizes the latest developments that deep intensive learning has brought to the recommendation system and CTR's estimated industry.
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From the point of view of experimental results, a series of experiments were carried out to compare and verify the effect, in which Top-K's Off-Policy correction scheme brought about an increase of 0.85% of the playback time on the line. And as mentioned earlier, Minmin Chen also mentioned on Industry Day that online experiments showed the biggest growth in YouTube's single project in nearly two years.
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