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Using a degree-of-unexpectedness to provide unexpected recommendations

机译:使用意外程度提供意外建议

摘要

In the situation where an amount of information on a user action history is small, information which is unexpected and interesting to a user cannot be presented with high accuracy. In order to solve this problem, a general degree of unexpectedness of an item, which does not depend on the user action history, and a degree of preference of the user to the item, which is based on the user action history, are calculated in an integrated manner, whereby the information which is unexpected and interesting to the user is recommended.
机译:在关于用户动作历史的信息量少的情况下,不能高精度地呈现用户所不期望的和有趣的信息。为了解决该问题,在以下步骤中,计算不依赖于用户动作历史的项目的一般的不期望度以及基于用户动作历史的用户对项目的偏好程度。集成的方式,从而推荐用户意外和感兴趣的信息。

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