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Multifunctional recommendation method and device based on Spark Mllib

A recommendation method and multi-functional technology, applied in the field of data processing, can solve the problem of single recommendation results

Pending Publication Date: 2020-12-01
GUANGZHOU HUANWANG TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the present invention is to overcome the deficiencies of the prior art, to provide a multifunctional recommendation method and device based on Spark Mllib, to solve the problem of single recommendation results in the prior art

Method used

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  • Multifunctional recommendation method and device based on Spark Mllib
  • Multifunctional recommendation method and device based on Spark Mllib
  • Multifunctional recommendation method and device based on Spark Mllib

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Embodiment Construction

[0051] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other implementations obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0052] A specific multi-function recommendation method implemented based on Spark Mllib provided in the embodiments of the present application will be described below with reference to the accompanying drawings.

[0053] like figure 1 As shown, the multi-functional recommendation method based on Spark Mllib implementation provided in the embodiment of the present application includes:

[0054] S101, obtaining user behavior data, and processing the user behavior data to obtain user ...

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Abstract

The invention relates to a multifunctional recommendation method and device based on Spark Mllib. The method comprises the steps: obtaining user behavior data, and processing the user behavior data toobtain user portrait data; collecting program list data from a mongodb database, and processing the program list data to obtain a film and television metadata table; a data general table is generatedaccording to the user portrait data and the film and television metadata table, weights are configured for preset tags according to the data general table, and a data tag weight result is generated;and calculating the data label weight result by adopting a cosine similarity algorithm to generate a recommendation list. According to the invention, multiple recommendation functions can be realizedat the same time, so that the application range of the program is wider, and manpower and material resources are saved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a multifunctional recommendation method and device based on Spark Mllib. Background technique [0002] With the development of information technology and the Internet, people have gradually entered the era of information overload from the era of information scarcity. The task of the recommender system is to contact users and information, on the one hand to help users discover valuable information for themselves, and on the other hand to allow the information to be presented to users who are interested in it, so as to achieve a win-win situation for information consumers and information producers; The system takes advantage of Spark's powerful performance in the field of memory iterative operations and machine learning, and it is of great practical value to use spark to deal with data mining problems. [0003] In related technologies, there are many recommenda...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/2457G06F16/2458G06F16/78
CPCG06F16/2282G06F16/2462G06F16/24573G06F16/7867Y02D10/00
Inventor 张旺
Owner GUANGZHOU HUANWANG TECH
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