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关注:1
2013-05-23 12:21
求翻译:该模型借鉴了概率生成模型的技术思路,最大化用户选择行为发生的概率,通过概率推导得出优化目标,进而将推荐问题转化为优化问题。IFRM直接对用户选择行为本身进行概率建模,在训练时无需负样本,从根本上克服了基于隐式反馈构建推荐系统面临的缺乏负样本这一核心难点。是什么意思?![]() ![]() 该模型借鉴了概率生成模型的技术思路,最大化用户选择行为发生的概率,通过概率推导得出优化目标,进而将推荐问题转化为优化问题。IFRM直接对用户选择行为本身进行概率建模,在训练时无需负样本,从根本上克服了基于隐式反馈构建推荐系统面临的缺乏负样本这一核心难点。
问题补充: |
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2013-05-23 12:21:38
The model draws on the probability generation model of technical ideas , to maximize the user to select the probability of behavior , obtained by optimization goals derived probability , and then will recommend transformed into an optimization problem.
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2013-05-23 12:23:18
The model was based on probability generate a model approach to technology to maximize the user-selected behavior the probability of occurrence, the probability derived from the objectives for the optimization, which in turn will recommend questions into optimization problems. IFRM direct-to-user se
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2013-05-23 12:24:58
This model has profited from the probability production model technical mentality, the probability which the maximized user choice behavior occurs, obtains the optimized goal through the probability inferential reasoning, then will recommend the question to transform as the optimized question.IFRM d
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2013-05-23 12:26:38
The model draws on the probability model of technical ideas, users choice behavior to maximize the probability of occurrence, using the derived object, then the recommendation problem into an optimization problem. IFRM probability modeling directly to users choice behavior itself, be trained without
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2013-05-23 12:28:18
正在翻译,请等待...
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