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It proposes a prediction model based on Dynamic Bayesian Network derivative classifiers called V-DBNC to accurately predict user retweeting behavior over time.
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Nov 11, 2020 � We explore their exact influence on users' retweeting behavior, and establish a prediction model based on Naive Bayesian. Experiment�...
Abstract—The research of text similarity, especially for rumors texts, which constructed the calculation model on the basis.
在社交网络中，对于用户来说，标签是对资源进行标记和分类的重要依据。微博用户的标签可以用于广告和网络营销。提出了一种基于朴素贝叶斯的用户标签预测方法。我们使用用户�...
Microblog user modeling based on bayesian network. 3.2.3. Microblog User Behavior Similarity. Calculation. Construct the conditional independence assumption�...
May 31, 2024 � Finally, we build a multilayer Na�ve Bayes model based on multidimensional Na�ve Bayes models to analyze user's retweeting sentiment tendency�...
Jul 22, 2021 � Microblogging influence refers to the degree of influence brought by users' publishing information on the microblog platform. The influence of�...
Comparing vector-based and Bayesian memory models using large-scale datasets: User-generated hashtag and tag prediction on Twitter and Stack Overflow.
In particular, this research employs stochastic models to predict the lifetime vitality of individual microblogging users' behavior. Empirical studies are�...
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Dec 21, 2020 � This paper predicts the forwarding behavior of microblog users. This paper summarizes the previous researches on the influencing factors of microblog users'�...