An improved content-based TV music recommendation method

A recommendation method and music technology, applied in the fields of electrical digital data processing, instruments, calculations, etc., can solve the problem of not being able to broaden the dimension of interest, and achieve the effect of reducing the amount of data calculation, improving comfort, and broadening the coverage dimension
CN112069352BActive Publication Date: 2022-05-17SICHUAN CHANGHONG ELECTRIC CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
SICHUAN CHANGHONG ELECTRIC CO LTD
Publication Date
2022-05-17

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Abstract

The present invention relates to the technical field of personalized recommendation. In order to solve the problem that the traditional content-based algorithm cannot expand and recommend the dimension of interest, it is specifically an improved content-based TV music recommendation method, including: S1, obtaining user historical data Dimensions in the information; S2. Obtain the user collection corresponding to each dimension; S3. Calculate the corresponding Jaccard similarity between each dimension according to the user collection; S4. Score the interest of the dimension; S5. Obtain the user collection under each dimension The data information is sorted according to the interest degree of all users; S6, select the top X dimension of the dimension interest score and the corresponding top Y dimension of the Jaccard similarity to form a dimension set; S7, select each dimension in the dimension set The top Z data information forms the candidate set M; S8, adopts the content-based algorithm to obtain the candidate set N for the user historical information; S9, merges the candidate sets M and N to obtain the recommended set U. The above method can broaden the dimension of personalized recommendation and the diversity of recommendation.
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Description

technical field

[0001] The invention relates to the technical field of personalized recommendation, in particular to an improved content-based TV music recommendation method. Background technique

[0002] The principle of the content-based algorithm is to obtain the user's interest preference according to the user's historical behavior, and recommend items similar to his interest preference for the user. The implementation steps are as follows: Mining the user's basic information and historical behavior data, constructing User characteristics; mining the basic information of items to construct item content information features; recommending to users based on the similarity between user features and item content features. This algorithm is often used when the recommendation system has a certain amount of user data after the cold start phase. However, this algorithm can only recommend items included in the dimension of interest represented by the user's historical behavior da...

Claims

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