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Systems and methods for improving accuracy in media asset recommendation models based on users' levels of enjoyment with respect to media assets
Systems and methods for improving accuracy in media asset recommendation models based on users' levels of enjoyment with respect to media assets
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机译:用于基于用户对媒体资产的享受程度来提高媒体资产推荐模型的准确性的系统和方法
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摘要
Methods and systems for determining an error value based on the user's expected level of enjoyment with respect to a specific media asset based on the user's level of enjoyment of other media assets, as determined using a model. User preference information is received from two data spaces that are managed by different content providers. User preference information from the two data spaces is normalized and an indication of similarity between two media assets is determined. The user's level of enjoyment with respect to a media asset is compared to an expected user's level of enjoyment with respect to the media asset received from a model and an error value is determined based on the comparison.
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