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      "extra_author": "Dengyong Zhou",
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      "extra_author": "Irwin King",
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  "name": "douban",
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  "name": "douban",
            
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  "notes": "Click-Through Rate (CTR) prediction plays a core role in 
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  "notes": "Click-Through Rate (CTR) prediction plays a core role in 
            
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recommender systems, serving as the final-stage filter to rank items 
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recommender systems, serving as the final-stage filter to rank items 
            
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for a user. The key to addressing the CTR task is learning feature 
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for a user. The key to addressing the CTR task is learning feature 
            
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interactions that are useful for prediction, which is typically 
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interactions that are useful for prediction, which is typically 
            
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achieved by fitting historical click data with the Empirical Risk 
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achieved by fitting historical click data with the Empirical Risk 
            
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Minimization (ERM) paradigm.",
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Minimization (ERM) paradigm.",
            
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