Personalization recommendation method based on smart television
A technology of smart TV and recommendation method, applied in electrical components, selective content distribution, image communication, etc., can solve the problem of single recommendation technology, and achieve the effect of user convenience and accurate recommendation results
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[0022] The personalized recommendation method based on smart TV in the embodiment of the present invention comprises the following steps:
[0023] Step 1. The system collects user personal characteristic information and user personal preference data.
[0024] In this step, the user's personal preference data includes user's personal preference data such as user history scores and browsing behavior records, and the user's personal characteristic information can be user login information and other personal information representing the user, such as user name or facial recognition when logging in. eigenvalues, etc.
[0025] Step 2. The system performs modeling according to the user's personal characteristic information and user's personal preference data, and generates a user similarity model of the user.
[0026] Step 3: Systematically analyze the correlation of items in the movie database, use content filtering to model item similarity, and generate an item similarity model. ...
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