Recommendation systems are usually optimized using user activities on products such as watch time, like share etc. But optimizing with user perception feedback (such as interest matching, novelty etc.,) we can significantly improve relevance, quality and ecosystem.
Recommendation systems are usually optimized using user activities on products such as watch time, like share etc. But optimizing with user perception feedback (such as interest matching, novelty etc.,) we can significantly improve relevance, quality and ecosystem.
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