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Hadoop-based user preference evaluation method and system

An evaluation algorithm and user technology, applied in the field of mobile Internet, can solve problems such as inability to accurately analyze user application preferences, low marketing success rate, etc., and achieve the effect of facilitating query, expanding economic benefits, and improving user perception

Inactive Publication Date: 2017-08-18
CHONGQING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide a user preference evaluation method and system based on Hadoop, which can well solve the problem that the traditional user preference analysis method cannot accurately analyze the user's preference for applications, resulting in a low marketing success rate

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  • Hadoop-based user preference evaluation method and system
  • Hadoop-based user preference evaluation method and system
  • Hadoop-based user preference evaluation method and system

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Embodiment Construction

[0044] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0045] The present invention provides a user preference evaluation method based on Hadoop. In the method, firstly, the online information of all users on the live network is acquired; The evaluation algorithm and MapReduce computing power realize user preference evaluation and generate user preference scores; thirdly, import user preference scores into the Hive data warehouse to facilitate the query of massive user preference data; finally, according to user online information and "user-application" relationship Preference relationship, to achieve key user attention and similar application recommendation.

[0046] figure 1 It is a schematic flow diagram of a Hadoop-based user preference evaluation method embodiment of the present invention, as shown in the figure, in this recommendation activity, the execution flow is as follows:

[0047]...

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Abstract

The invention provides a Hadoop-based user preference evaluation method and a system. The method comprises the following steps of S1: acquiring network access information of full amount of users in current network within a certain time period; carrying out data cleaning, so as to filter data which do not meet the requirements; S2: storing network access information of the users locally counted to a distributed file storage system HDFS (Hadoop Distributed File System) of a Hadoop platform, meanwhile, on the basis of a user preference evaluation algorithm, realizing user preference evaluation with massive data computing ability of a MapReduce, and generating user preference scores; S3: establishing a ''user-application'' performance value data table in a Hive database, and importing the obtained user performance scores into the data table so as to conveniently inquire with the Hive; and S4: generating a recommended application list and a target user group according to the network access information of the users and the ''user-application'' performance data table, so as to achieve important user attention and similar application recommendation. According to the Hadoop-based user preference evaluation method and the system disclosed by the invention, the problem that user's preference to the application cannot be precisely analyzed by a traditional user preference analysis method, thereby resulting to low success rate of marketing is solved.

Description

technical field [0001] The invention belongs to the technical field of mobile Internet, in particular to the technical field of user application preference analysis methods, and relates to a Hadoop-based user preference evaluation method and system. Background technique [0002] Today, when the mobile Internet is prevalent, data services have become a major part of operators' revenue. The widespread popularity of smart phones has led to an increasing proportion of data services. Different users have different preferences for mobile phone applications, which determines that the traffic consumed by the applications in each user's mobile phone is different. In this case, if the user's online behavior can be analyzed, the user's online habits can be mined, which makes it possible to push accurate information such as applications, news, advertisements, shopping, etc., and greatly improves the user experience. At the same time, it also increases the income source of the operator...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/182G06F16/215G06F16/22G06F16/2457G06F16/24578G06F16/283G06F16/9535
Inventor 程亮张治中陈敏俊
Owner CHONGQING UNIV OF POSTS & TELECOMM
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