A method for retrieving similar data of target object

A technology for target objects and target data, applied in the field of big data, can solve the problem of time-consuming data, and achieve the effect of solving the problem of excessive time-consuming, improving efficiency, and quickly finding

Pending Publication Date: 2021-02-12
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for retrieving data similar to the target object in order to solve the problem that it takes too much time to obtain data similar to the target data in a scenario where the data dimension is high and the amount of candidate data is large; There are many application scenarios for finding one or more pieces of data similar to the target data, such as finding similar users or similar items in recommendation scenarios, or other specific application scenarios

Method used

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  • A method for retrieving similar data of target object
  • A method for retrieving similar data of target object

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Embodiment Construction

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0024] In either embodiment, if figure 1 As shown, a method for retrieving target object similar data of the present invention comprises the following steps:

[0025] Step 1, data preparation and cleaning

[0026] Obtain the source data and preprocess the data, including cleaning, filling of missing values, and reassembly;

[0027] Step 2, sampling dimensionality reduction

[0028] Extract the data of the corresponding dimension from the data obtained in ste...

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Abstract

The invention discloses a method for retrieving similar data of a target object, which searches the similar data in a large amount of data by adopting methods such as sampling dimension reduction, discrete feature construction and the like, so that the efficiency of the algorithm is improved by tens of times to hundreds of times, and the problem of excessive time consumption for searching the similar data is solved. Therefore, similar data can be quickly found in a large amount of data.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a method for retrieving data similar to a target object. Background technique [0002] In many scenarios, it is necessary to calculate one or more pieces of data similar to the target data from the candidate data, such as the similarity of calculated items or users in the recommendation scenario. When the amount of candidate data is small and the dimension of a single piece of data is not high, you can traverse each piece of candidate data, calculate its similarity with the target data according to the similarity formula, and sort the candidate data according to the similarity from high to low, and finally select output the required data. However, when the amount of candidate data is large and the dimension of a single piece of data is high (such as hundreds of dimensions or even higher), if the calculation is performed according to the existing method, the calculation will be ...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/29
CPCG06F16/215G06F16/29
Inventor彭敬舒
OwnerSICHUAN CHANGHONG ELECTRIC CO LTD