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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

Inactive Publication Date: 2019-01-22
BEIJING GZT NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing commercial value evaluation of stars is mainly carried out through traditional sampling surveys. The traditional sampling survey system has obvious defects such as single data source, small data sample, poor timeliness, and low accuracy.

Method used

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  • A method and apparatus for intelligent recommendation based on large data
  • A method and apparatus for intelligent recommendation based on large data
  • A method and apparatus for intelligent recommendation based on large data

Examples

Experimental program
Comparison scheme
Effect test

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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PUM

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Abstract

A method and an apparatus for intelligent recommendation based on big data are disclosed, in particular to a big data intelligent recommendation method and device based on a fan association. The big data intelligent recommendation method based on the fan association comprises the following steps: acquiring user data, wherein the user data comprises static data and dynamic data, wherein the staticdata is data filled in in advance by the user, and at least comprises one of the following: age, gender, occupation, income, region, education, first interest and hobby, and marital status. Dynamic data includes at least one of the following: browsing, searching, clicking, collecting, purchasing, participating topics; performing statistical analysis on the obtained static data of the user to obtain a first tag; Modeling and analyzing the obtained dynamic data of the user to obtain a second tag; processing the acquired first tag and the acquired second tag to obtain a star tag; recommending star activity: recommending a star activity according to the star label obtained.

Description

technical field [0001] The invention belongs to the field of big data, and in particular relates to a big data intelligent recommendation method and device based on fan guilds. Background technique [0002] The existing commercial value evaluation of celebrities is mainly carried out through traditional sampling surveys. The traditional sampling survey system has obvious defects such as single data source, small data sample, poor timeliness, and low accuracy. Contents of the invention [0003] The present invention provides a big data intelligent recommendation method based on fan guilds, which is used to overcome one or more defects of traditional star commercial value evaluation. [0004] A big data intelligent recommendation method based on fan guilds, comprising the following steps: obtaining user data, the user data includes static data and dynamic data, wherein the static data is the data filled in by the user in advance, including at least one of the following: age,...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/955G06Q30/02G06Q50/00
CPCG06Q30/0201G06Q30/0203G06Q50/01
Inventor 李首峰李莉莉孙立宏陈放
Owner BEIJING GZT NETWORK TECH