Learning the Personalized Intransitive Preferences of Images.
IEEE Transactions on Image Processing(2017)
摘要
Most of the previous studies on the user preferences assume that there is a personal transitive preference ranking of the consumable media like images. For example, the transitivity of preferences is one of the most important assumptions in the recommender system research. However, the intransitive relations have also been widely observed, such as the win/loss relations in online video games, in s...
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关键词
Games,Recommender systems,Media,Predictive models,Social network services,Bayes methods,Learning systems
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