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Intelligent recommendation method and device for data standard

A recommendation method and data technology, applied in the field of data processing, can solve the problem of high data standard error rate, reduce the number of comparison operations, reduce the workload, and improve the comparison efficiency and accuracy.

Pending Publication Date: 2022-06-07
XIAMEN MEIYA PICO INFORMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the standard error rate of the data matched by this method is very high, and will match a large number of useless data standards

Method used

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  • Intelligent recommendation method and device for data standard
  • Intelligent recommendation method and device for data standard
  • Intelligent recommendation method and device for data standard

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Please refer to figure 1 and image 3 , a data standard intelligent recommendation method, characterized in that it includes the steps:

[0068] S1. Obtain source table information, and perform word segmentation on the source table information to obtain at least one group of keywords;

[0069] Since the table name of the source table information may be very different from the standard name, extracting keywords from the table name of the source table information for comparison can improve the accuracy;

[0070] S2, match the data standard names related to the keywords in the database according to the keywords, and obtain a plurality of the data standard names and groups of data standard tables corresponding to the data standard names;

[0071] S3, filter the data standard name according to the preset scoring rule, and obtain the data standard table of the preset number of groups, specifically:

[0072] S31, compare the length of the data standard name and the keyword,...

Embodiment 2

[0089] The difference between this embodiment and the first embodiment is that the total similarity is calculated to obtain a more accurate similarity ranking;

[0090] After completing step S43, step S44 is also included:

[0091]S441. Obtain the number of data items in the data standard table; if the first data standard table "merchant transaction records" contains 10 data items, record the number of data items in the first data standard table as 10; The second data standard table "WeChat transaction record" contains 13 data items, then the number of data items recorded in the second data standard table is 13;

[0092] S442. Obtain the average data item similarity of each of the data standard tables according to the number of data items in the data standard table and the total similarity; If the total similarity of transaction records” is 5, the corresponding average data item similarity is 1 / 2; the total similarity of the second data standard table “WeChat transaction reco...

example 3

[0101] The difference between this embodiment and the first or second embodiment is that the data standard table is preprocessed;

[0102] Please refer to Figure 4 , step S02 is included before step S2:

[0103] S021, perform word segmentation on each of the data standard names to obtain word segmentation phrases; if the data standard table is "resident population data", the data standard names are divided into "resident", "population" and "resident" by a word segmentation tool data";

[0104] S022, filter the segmented phrases to obtain related phrases; in the three phrases "resident", "population" and "data", "data" is a popular phrase, which will appear in most data standard names , so it is removed when the phrase is filtered, and the two phrases "population" and "resident" are retained;

[0105] S023, obtain a series of phrases associated with the related phrases; according to the two phrases "population" and "resident", obtain corresponding series of phrases such as ...

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Abstract

The invention discloses an intelligent recommendation method and device for data standards, and the method comprises the steps: firstly carrying out the word segmentation of source table information, extracting keywords corresponding to the source table information, matching related data standard names in a database through the keywords, and obtaining a plurality of groups of related data standard tables; carrying out first screening on the searched multiple groups of data standard tables through a preset scoring rule, selecting a preset number of relative data standard tables, and carrying out second screening on all data items of each selected data standard table and all data items in the source table information by adopting a similarity accumulation calculation method; according to the method, the data standard table which is most matched with the source table information is obtained, so that the similarity comparison efficiency and accuracy are improved through two times of different-degree screening in sequence, meanwhile, the number of times of computer comparison operation is reduced, the workload of access personnel is greatly reduced, and the problem of misalignment occurring in the data standard benchmarking process is solved.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for intelligent recommendation of data standards. Background technique [0002] The so-called intelligent recommendation is to mine and generate user portraits according to the preferences of different users, and provide each user with personalized recommendation content of "different people and different aspects". This can help media, e-commerce and other industries to effectively improve click-through rates, conversion rates and user stickiness. For example, in real life, customers who want to buy a car, travel, house decoration, etc., can use intelligent recommendation to recommend the optimal vehicle model, optimal travel route, and optimal decoration plan according to the customer's ideas. [0003] Common intelligent recommendation implementation methods are: input any phrase in the search box on the Internet website, the system background will derive the ...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9035G06F40/289G06K9/62
CPCG06F16/9535G06F40/289G06F16/9035G06F18/22
Inventor 陈楠张磊姚志强邢磊
Owner XIAMEN MEIYA PICO INFORMATION