Method and system for predicting the popularity of questions in question-and-answer communities based on deep learning models
A question and answer community, deep learning technology, applied in the computer field, can solve the problems of complex communication methods, cumbersome and efficient artificial feature extraction technology, difficult modeling, etc., to achieve the effect of satisfying the prediction results, and the prediction results are credible and accurate.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0054] Such as figure 1 As shown, a method for predicting the popularity of questions in question-and-answer communities based on deep learning models includes the following steps:
[0055] S1. Obtain the historical information in the question-and-answer community, and after preprocessing the data, use the data to train the neural network model for predicting the popularity of questions. The prediction model for question popularity uses deep neural network technology and point process mathematical models, and includes a The layer posterior attention mechanism is used to model the characteristics of the question-and-answer community; after the training is stable, a prediction model with optimal parameters can be obtained;
[0056] S2. Obtain the existing information of the question to be predicted, including the text information of the question and the observed answer, time information, and the number of followers of the answer writer. These information will be input into the m...
Embodiment 2
[0087] Such as figure 2 As shown, a system for predicting the popularity of questions in the question-and-answer community based on a deep learning model. The system includes: a preprocessing module, an encoding module, a decoding module, an attention module, and a popularity prediction module. Combine below figure 2 Each module in will further illustrate the prediction method of the present invention.
[0088] Step A: Train the model, obtain the historical information in the question-and-answer community, preprocess the data, and use the data to train the neural network model for predicting the popularity of questions. The prediction model for question popularity uses deep neural network technology and point process mathematical models , and includes a layer of posterior attention mechanism to model the characteristics of question answering communities. After the training is stable, a prediction model with optimal parameters can be obtained.
[0089] Specifically, the fo...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com