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Collaborative filtering recommendation method based on hive

A collaborative filtering recommendation and recommendation degree technology, applied in the field of hive-based collaborative filtering recommendation, can solve the problems that the modeling method does not take into account

Active Publication Date: 2022-06-03
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the second question, when solving the score, it is necessary to consider multiple factors such as the duration of the movie, the number of times the movie is watched, and the difference between movies and TV shows, but the existing modeling methods do not take these factors into account

Method used

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  • Collaborative filtering recommendation method based on hive
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Embodiment Construction

[0032] 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.

[0033] In any embodiment, as Figure 1-2 As shown, the Hive-based collaborative filtering recommendation method of the present invention includes:

[0034] 1 Solve the user-movie rating table;

[0035](1) Clean and filter source data. According to the existing stored user log source table standard_actions_video, select the fields of mac, action, action_time, and vid, where mac is the MAC address of the TV, which is unique, and action is the user's action. Here, only play start and...

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Abstract

The invention discloses a collaborative filtering recommendation method based on hive. Hive is a data warehouse tool built on a Hadoop cluster. The underlying calculation adopts the MapReduce architecture, so hive can distribute tables with huge amounts of data. The method of the invention is based on the hivesql language. Applying the idea of ​​matrix decomposition, it solves the problems of storage and calculation of super-large matrix in the collaborative filtering recommendation system, and realizes the calculation of user-commodity (video) rating, product-commodity similarity matrix and user-recommended product data table calculation. Completed the key algorithm part of the recommendation system, especially suitable for the field of personalized recommendation system under the background of big data.

Description

technical field [0001] The present invention relates to the technical field of personalized recommendation, in particular to a collaborative filtering recommendation method based on hive. Background technique [0002] In the era of big data, only by fully mining and analyzing data can more business value be created. The same is true for the movie recommendation system. Only by fully learning the massive historical movie viewing data generated by a large number of users, can the users’ favorite movies be accurately selected from the program source for recommendation, thereby increasing the number of users’ movie viewing behaviors and ultimately creating more revenue. . [0003] The collaborative filtering recommendation algorithm is a classic personalized recommendation algorithm, which is roughly divided into three steps: finding the rating of each user’s movies according to the user’s movie viewing behavior, and finding the movie based on the user-movie rating obtained. -...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28G06F16/2458G06F16/435
CPCG06F16/283G06F16/2471G06F16/435Y02D10/00
Inventor 刘洋孙永强韩挺唐潮
Owner SICHUAN CHANGHONG ELECTRIC CO LTD