基于用户和基于内容的人工神经网络和谐搜索预测转发

Rizky Ahmad Saputra, Jondri Jondri, Kemas Muslim Lhaksmana
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引用次数: 0

摘要

在线社交网络服务允许用户以文本、图像或视频的形式发布内容。Twitter是一种微博社交网络服务,用户可以发送和阅读最多140个字符的文本信息。转发是Twitter传播信息的重要功能之一,热门推文反映了Twitter上的最新趋势,鼓励信息传播的主要机制是用户可以重新分享其社交关系发布的内容,然后它可以在整个系统中流动。当有人在他们的主页和个人资料中重新发布或转发帖子时,就会发生转发。大多数转发都归功于原始帖子的原作者。转发预测系统采用了针对雅万高铁相关推文进行Harmony搜索优化的人工神经网络,在采用过采样方法时,转发预测结果最佳,f1得分为96.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction Retweet Using User-Based and Content-Based with Artificial Neural Network-Harmony Search
Online social networking services allow users to post content in the form of text, images or videos. Twitter is a microblogging social networking service that enables its users to send and read text-based messages of up to 140 characters. Retweet is one of the features in Twitter that is important in disseminating information, popular tweets reflect the latest trends on Twitter, the main mechanism that encourages information dissemination is the possibility for users to re-share content posted by their social connections, then it can flow throughout the system. Retweets happen when someone republishes or forwards a post to their homepage and personal profile. Most retweets are credited to the original author of the original post. The retweet prediction system uses an Artificial neural network optimized for Harmony search with tweets about the Jakarta-Bandung Fast Train, which shows the best results when the oversampling method has been carried out with an f1 score of 96.8%.
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