Method and system for pre-estimate and judgment of amount brushing of online game channel

A discrimination method and channel technology, applied in the field of online games, can solve problems such as low accuracy or efficiency, and can not meet the actual monitoring needs, and achieve the effect of efficient acquisition

Inactive Publication Date: 2017-05-03
NETEASE (HANGZHOU) NETWORK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The main purpose of the present invention is to propose a method for estimating and judging the amount of browsing in online game channels, so

Method used

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  • Method and system for pre-estimate and judgment of amount brushing of online game channel
  • Method and system for pre-estimate and judgment of amount brushing of online game channel
  • Method and system for pre-estimate and judgment of amount brushing of online game channel

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] A method for estimating and judging online game channel swiping volume, comprising the following steps:

[0050] S101. Collect log data of mobile games from various channels.

[0051] The collection of mobile game data is mainly by obtaining server log data, such as transmission and storage through Hadoop distributed clusters, but not limited to this, and similar methods can be used for transmission and storage.

[0052] S102. Data preprocessing, importing the log data and performing data cutting, data extraction and data clear processing.

[0053]The so-called data preprocessing is mainly to perform data cutting, data extraction, data cleaning and other processing on the data of each channel, import the log data into the database, and conduct statistics on various index data to determine whether there are some channels with less derivatives , and perform operations such as eliminating channel data that do not have statistical significance. Channel data that does not ...

Embodiment 2

[0073] This embodiment is a further detailed description of the present invention in conjunction with the accompanying drawings.

[0074] Such as image 3 As shown, it is the flow chart of channel swiping amount discrimination and realization of the present embodiment (this flow chart can also be expressed as Figure 8 form), the method may specifically include:

[0075] S201. Collection, transmission and storage of log data from various channels, such as the login log (LoginRole) as shown in Table 1:

[0076] Field Name field meaning app_channel channel server server os_name operating system t_when log time role_id role id udid device id account_id account id ip ip address role_level role level

[0077] Table 1 The fields contained in the login log and their corresponding meanings

[0078] The logout log (LogoutRole) is as shown in Table 2:

[0079] Field Name field meaning app...

Embodiment 3

[0120] The estimation and discrimination system of the online game channel brushing volume in this embodiment is as follows: Figure 9 shown, including:

[0121] The log data collection module 301 is used to collect the log data of mobile games in various channels; the data preprocessing module 302 is used to import the log data and perform data cutting, data extraction and data clear processing; the data monitoring and anomaly detection module 303 , used for data monitoring and anomaly detection of each channel; an anomaly output module 304 , used for outputting information of channels judged to be abnormal.

[0122] in:

[0123] The data monitoring and anomaly detection module 303 such as Figure 10 As shown, when an abnormality is found in any of the following units a)~d), the abnormal information and abnormal points of the channel will be output:

[0124] a) The fluctuation detection and threshold value monitoring unit 3031 of target indicators and historical values;

...

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Abstract

The invention discloses a method and system for pre-estimate and judgment of the amount brushing of an online game channel. The method for pre-estimate and judgment of the amount brushing of an online game channel comprises the following steps: S101, collecting the log data of the game in the channel; S102, preprocessing the data, that is to say, importing the log data and performing data cutting, data extraction and data clearness processing; S103, performing monitoring and anomaly detection on the channel data; S104, outputting the relevant information which judged to be a abnormal channel. Compared with the prior art, the invention has the benefits that the disadvantages in the prior art can be avoided, such as the amount brushing behaviors of the channel using the virtual technology can not be recognized, and meanwhile, the judging results can be obtained timely and effectively just through the monitoring and detection of the log data and the channel data, and the needs of the reality are met.

Description

technical field [0001] The invention relates to the technical field of online games, in particular to a method for estimating and judging the number of swipes in online game channels and an implementation system. Background technique [0002] With the popularity of mobile devices and the rise of the mobile Internet, a large number of mobile games (hereinafter referred to as "mobile games") have emerged, and the promotion and download of mobile games requires more external network platforms and channels to acquire users. The revenue and share of these platforms and channels are often determined by user behavior data such as channel traffic, actual game retention, payment, etc. In this context, driven by actual interests, the channel will appear as follows Some fraudulent behaviors, such as introducing virtual fake amount, downloading by simulating players through machines, or maliciously swiping and retaining to get a higher rating, or through some external conditions, induce...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/26H04L29/06
CPCH04L41/147H04L43/08H04L43/10H04L43/16H04L63/1425H04L63/1466H04L67/131
Inventor 罗芸骁林文佳
Owner NETEASE (HANGZHOU) NETWORK CO LTD
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