Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions
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DOI: 10.1109/tii.2020.3036164
Abstract: Click-through rate (CTR) prediction is the core task in an online advertising system. How to capture the users’ dynamic interests through the behavior sequences to predict CTR is a challenging problem in the real-world applications.… read more here.
Keywords: dynamic interest; global sessions; deep dynamic; click rate ... See more keywords