In people's daily life, there are plenty of decisions need to be made among various options, and it is usual to choose an option by balancing risk with profit. To solve this kind of problem, existing recommender systems rely on some relevant data or history data of user or similar users. So a recommendation method which can make recommendations by balancing risk with profit and doesn't rely on users' data needs to be proposed in the situation where history data is lack or the history data is hardly to use s...
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