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Social matching data mining system

A technology for matching data and data, applied in the field of social matching data mining system, can solve the problem of inability to realize the information of individual passengers getting on and off, and achieve the effect of informatization and humanization promotion

Active Publication Date: 2015-05-06
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above method can only realize the overall passenger flow detection, especially in the case of crowded crowds, the detection is inaccurate, and it cannot realize the information of getting on and off the individual passengers

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Such as figure 1 Shown, a kind of social matching data mining system, this system is used for collecting and processing the data of passenger getting on and off the bus information, comprises passenger getting on and off the bus information collection module, data processing module and social matching degree calculation module; Said passenger gets on and off the bus information The acquisition module is installed in the bus, and the data processing module and the social matching degree calculation module are installed in the terminal station or departure station of the bus operation line. After the bus arrives at the terminal station, the data collected by the passenger getting on and off information collection module is processed by the data processing module Send to the social matching calculation module to calculate the matching degree of social relationship between passengers.

[0036] Passenger boarding and disembarkation information collection module includes dual...

Embodiment 2

[0082] In order to illustrate the method of calculating social relationship metrics, an example is given as follows:

[0083] If the new sample Corresponding to z=3 nearest neighbor categories, set the number of samples corresponding to these 3 categories as n 1 =290,n 2 =150 and n 3 =359, then the total number of samples is N=n 1 +n 2 +n 3 =290+150+359=799. calculate And the corresponding sample set S={s 1 ,s 2 ,...,s N}'s Euclidean distance, and re-sort in descending order according to the s distance. Assume that the order of the new collection is {s 19 ,s 230 ,...,s 3},s 230 In the serial number x=2 in the sequence, it can be obtained

[0084] this s 230 and The social relationship measure of can be calculated as:

[0085] v = x N = 2 799 ≈ 0.0025

[0086] Among them, the higher the social relationship measurement value, the...

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Abstract

The invention provides a social matching data mining system, which is used for collecting and processing bus passenger taking-on and getting-off information data and is characterized by comprising a passenger taking-on and getting-off information collecting module, a data processing module and a social matching degree calculation module, wherein the passenger taking-on and getting-off information collecting module is arranged in a bus, the data processing module and the social matching degree calculation module are arranged in a terminal station or a first station of a bus operation route, after the bus reaches the terminal station, data collected by the passenger taking-on and getting-off information collecting module is transmitted to the social matching degree calculation module after being processed by the data processing module so that the social relationship matching degree between passengers is calculated. The social matching data mining system has the advantages that the behavior features of the daily life of the passengers can be sufficiently used and can be mapped onto the on-line social relationship matching, the data value is deeply mined out, and the promotion effect is achieved on the bus traffic service informatization and humanization.

Description

technical field [0001] The present invention relates to the field of social data mining, and more specifically, to a social matching data mining system. Background technique [0002] With the rise of social networks, social activities have become an integral part of people's lives. The traditional social matching method is based on the user's online information, such as the similarity of interests, topics and mutual friends. With the development of Online-to-Offline (O2O), people's attention on online social networking has gradually shifted from online virtual relationships to offline social networking based on geographic location and behavioral characteristics. And the information of getting on and off the bus records the main behaviors and habits of the user's offline life. How to collect and mine offline information in daily life and apply the results online has become a hot topic in the era of big data. [0003] With the development of big data and data mining, indivi...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62G06Q50/00
CPCG06F16/35G06Q50/01
Inventor 余荣蔡圻钊张浩川谢胜利潘树坤吴茂强
Owner GUANGDONG UNIV OF TECH
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