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Answer ordering method for community question-answer platform

A community question and answer, sorting method technology, applied in special data processing applications, instruments, biological neural network models, etc., can solve the problems of unstable number of likes, uneven answer quality, and high quality of answers.

Active Publication Date: 2018-07-20
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the community Q&A becomes more and more popular, the existing problems in the platform are gradually emerging, one of which is that the quality of the answers is uneven, and low-quality answers will greatly affect the user experience on the platform
Although these platforms have introduced mechanisms such as "likes", for those new questions and answers, due to the short time of appearance, the number of likes is still unstable, which cannot reflect the quality of the answers

Method used

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Embodiment Construction

[0013] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0014] An embodiment of the present invention provides a community question and answer platform answer sorting method, such as figure 1 As mentioned, it mainly includes the following steps:

[0015] Step 1. Crawl a certain amount of data from the community question-and-answer platform website. The data crawled for a question includes: the text content of the question, the topic to which the question belongs, the text content of a series of answers ...

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Abstract

The invention discloses an answer ordering method for a community question-answer platform. According to the method, rich metadata, such as themes, timestamps and text content of questions and answers, of the questions and answers can be sufficiently used for solving the answer ordering problem; meanwhile, an enhancement-type attention mechanism recurrent neural network model (EARNN) is used for solving the answer ordering problem, and compared with a tradition model, more information is used. A predicted result is improved to a certain degree on multiple evaluation indexes.

Description

technical field [0001] The invention relates to the field of machine learning and question answering systems, in particular to a method for sorting answers on a community question answering platform. Background technique [0002] Community question-and-answer platforms, such as Baidu Zhizhi and Sogou Asking, etc., provide Internet users with an online question and answer platform to help people quickly obtain high-quality answers to daily or professional questions. As community Q&As become more and more popular, problems in the platform have gradually emerged. One of them is that the quality of answers is uneven, and low-quality answers will greatly affect the user experience on the platform. Although these platforms have introduced mechanisms such as "likes", for those new questions and answers, due to the short time of appearance, the number of likes is still unstable, which cannot reflect the quality of the answers. Therefore, how to effectively measure the quality of an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N99/00G06N3/04
CPCG06F16/3329G06F16/951G06N20/00G06N3/045
Inventor 陈恩红刘淇金斌斌赵洪科童世炜
Owner UNIV OF SCI & TECH OF CHINA
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