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Service preference identification method based on user time fragments

A technology of user time and identification method, applied in the field of mobile Internet, can solve problems such as unsatisfactory information changes, long time period, weak time concept, etc.

Inactive Publication Date: 2016-06-15
WHALE CLOUD TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The information on the Internet and mobile Internet changes instantaneously. The traditional identification method of user needs and preferences considers the overall preferences of users. The concept of time is not strong, and the time period is long, which can no longer meet the pace of information changes.

Method used

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  • Service preference identification method based on user time fragments
  • Service preference identification method based on user time fragments
  • Service preference identification method based on user time fragments

Examples

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example

[0074] The instance database update is used to update the URL classification information obtained by the webpage parsing module to the instance database for use in content identification. The instance library update module automatically scans the crawling result list output by the crawler program, and after confirming that the Json fields of all entries in the list are not empty, it updates to the URL instance library in batches.

[0075] In a further embodiment, in the aforementioned step 3, when describing and analyzing user traffic fluctuations, the time of day is converted into 1440 minutes and replaced by numbers 1-1440, where 0:00-0:01 is represented by 1 Instead, 0:01-0:02 is replaced by 2, and so on.

[0076] In this example, we draw the user traffic fluctuation graph (the traffic can be decomposed into the superposition of each application) based on the WAP log data of the user every month (the daily data customer behavior characteristics are not normalized). For the ...

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Abstract

The invention provides a service preference identification method based on user time fragments. The service preference identification method comprises the following steps: step 1, acquiring WAP logs of a client mobile phone on the internet; step 2, data preprocessing: carrying out clean-up transformation, session identification analysis and content classification to the acquired data; step 3, based on monthly WAP logs of the user, describing and analyzing user's flow fluctuation; step 4, combining with user's monthly WAP log data, and carrying out curve segmented fitting; step 5, based on the curve segmented fitting result, extracting individual time fragments of the user; step 6, based on the individual time fragment extraction result, carrying out similarity clustering on the time sequence to distinguish the user group with similar form, and then counting the time sequence fragments where in the same type of user group, the time fragments are concentrated, and requirement preference of the fragmented time, to obtain the group characteristic description. With adoption of the method, disclosed by the invention, different requirements at various fragmented time sections of the user can be analyzed, and the client perception level can be improved.

Description

technical field [0001] The present invention relates to the technical field of mobile Internet, in particular to user service preference identification, and in particular to a service preference identification method based on user time fragments. Background technique [0002] The mobile Internet industry is developing relatively rapidly, and many popular applications and services have appeared. Especially, the advent of the fragmented era has further promoted the development of the mobile Internet industry, so fragmented time has gradually attracted people's attention and attention. Since the stickiness formed by the frequency and duration of mobile Internet users online has become a necessary condition for the rapid development of the mobile Internet industry, the development of mobile Internet must study the behavior habits of mobile Internet users and how to use the fragmented time of users more skillfully Product innovation has become the focus of research for content ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/00G06F2216/03G06Q30/0224G06Q30/0255
Inventor 杨志兵李百成
Owner WHALE CLOUD TECH CO LTD
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