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A community question and answer platform answer sorting method

A community question answering and sorting method technology, applied in the direction of instruments, network data retrieval, computing models, etc., can solve problems such as high or low answer quality, unstable number of likes, and uneven answer quality

Active Publication Date: 2020-10-27
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
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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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  • A community question and answer platform answer sorting method

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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 a method for sorting answers on a community question-and-answer platform, which can make full use of the rich metadata of questions and answers (such as topics, time stamps, and text content of question answers) to solve the problem of sorting answers; at the same time, using enhanced attention Mechanism recurrent neural network model (EARNN) is used to answer the ranking problem, using more information than traditional models. For the predicted results, there is a certain improvement in multiple evaluation indicators.

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 Patents(China)
IPC IPC(8): G06F16/332G06F16/9535G06N20/00G06N3/04
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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