A method and apparatus for intelligent recommendation based on large data
A recommendation method and big data technology, applied in the field of big data, can solve the problems of single data source, low accuracy, small data sample, etc., and achieve the effect of diverse data sources and accurate commercial value
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Embodiment 1
[0014] Such as figure 1 A big data intelligent recommendation method based on fan guild is shown, including the following steps:
[0015] S1. Obtain user data. The user data includes static data and dynamic data. The static data is the data pre-filled by the user, including at least one of the following: age, gender, occupation, income, region, education, first hobby, marital status. Dynamic data includes at least one of the following: browsing, searching, clicking, bookmarking, purchasing, and participating topics.
[0016] Since the acquired data may be incomplete, the data needs to be cleaned. Automatic cleaning can be used, and manual cleaning can also be performed after the automatic cleaning lags behind to ensure data integrity.
[0017] Further, in order to ensure the diversity of acquired user data and improve the accuracy of recommendation, the data of all users who have searched for the star and the data of users who participated in the discussion of the star topic...
Embodiment 2
[0039] Such as figure 2 , image 3 A fan association-based star recommendation device is shown, which includes:
[0040] The data acquisition module is used to acquire user data, the user data includes static data and dynamic data, wherein the static data is the data pre-filled by the user, including at least one of the following: age, gender, occupation, income, region, education, first 1. Hobbies and marital status. Dynamic data includes at least one of the following: browsing, searching, clicking, favorites, purchasing, and participating topics;
[0041]The label generation module is used to generate the first label and the second label according to the user data, and process the first label and the second label to generate star labels.
[0042] The star activity recommendation module is used to recommend star activities according to the obtained star tags.
[0043] The star activities include: product brand cooperation plan, endorsement advertising plan, public welfar...
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