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Parallel sorting learning method and system based on graphics processing unit

A graphics processing unit, sorting learning technology, applied in the field of Internet-based data processing, can solve problems such as slow calculation speed, and achieve the effect of improving data calculation speed

Active Publication Date: 2016-09-28
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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AI Technical Summary

Problems solved by technology

[0005] However, the current technology has the problem of slow calculation speed due to massive data in ranking learning

Method used

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  • Parallel sorting learning method and system based on graphics processing unit
  • Parallel sorting learning method and system based on graphics processing unit
  • Parallel sorting learning method and system based on graphics processing unit

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Embodiment Construction

[0040] Such as figure 1 As shown, the present invention discloses a parallel sorting learning method based on a graphics processing unit, comprising the following steps:

[0041] 100 Building query and document partial order pairs: For each query, construct document partial order pairs according to the correlation between the documents in the training set and the query, and each document partial order pair is a training sample for a model.

[0042] The specific implementation process is as follows: The main idea of ​​the sorting learning algorithm based on partial order pairs is that, for any query, for any two documents with different degrees of relevance, a training instance pair can be obtained. When training the model, it is necessary to minimize the error of the two-class classification, that is, to divide all document partial order pairs as much as possible.

[0043] In the training sample, each query corresponds to a list of documents, and the list shows the relevance ...

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Abstract

The present invention provides a parallel sorting learning method and system based on a graphics processing unit. The parallel sorting learning method includes constructing query and document partial order pairs: for each query, constructing a document partial order according to the correlation between the documents in the training set and the query. Sequence pair, each document partial order pair is a training sample of a model; model parameter training: estimate the weight parameter value of each feature in the scoring function; document scoring: according to the model parameters and documents estimated in the model parameter training step The scoring function calculates the score of each document; document sorting: according to the score of each document, a sorting algorithm is selected to sort the documents, and then the sorted results are provided to the query user. The beneficial effect of the invention is that the graphics processing unit-based parallel sorting learning method and system of the invention can improve the data calculation speed in the sorting learning.

Description

technical field [0001] The invention relates to an Internet-based data processing method and system, in particular to a graphic processing unit-based parallel sorting learning method and system. Background technique [0002] With the development of network technology, information acquisition has become easier and easier. However, when retrieving information from the massive and ever-changing Internet, it is becoming more and more difficult to meet the response time and result accuracy required by users during the retrieval process. difficulty. Search engines are an important means to obtain useful information from massive data. How to return the most relevant information to users is an important determinant of search engine development and user attraction. [0003] Commercial search engines and recommendation systems generally have sorting problems, and the competition among Internet search engine providers is becoming increasingly fierce. Search engines can have a scale of...

Claims

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Application Information

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IPC IPC(8): G06F7/08
Inventor 叶允明范希贤黄晓辉
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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