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SYSTEM AND METHOD FOR MAKING CONTENT-BASED RECOMMENDATIONS USING A USER PROFILE LIKELIHOOD MODEL
SYSTEM AND METHOD FOR MAKING CONTENT-BASED RECOMMENDATIONS USING A USER PROFILE LIKELIHOOD MODEL
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机译:使用用户个人资料喜好模型进行基于内容的推荐的系统和方法
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摘要
Aspects of the present disclosure involve systems, methods, devices, and the like for making content-based recommendations using a user profile likelihood model. In one embodiment, a system is introduced that includes a plurality of models and storage units for storing, managing, and transforming product and user profile data. The system can also include a recommendation engine designed to determine a probability that a product is relevant to a user based on a user profile. In another embodiment, the probability that a product is relevant to a user may be determined based in part on a frequency of interactions with a product and a time of interaction with the products.
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