International Journal of Web Based Communities

In order to improve the performance of traditional repeat purchase behaviour intention mining methods in mining accuracy, a repeat purchase behaviour intention mining method of online consumer users based on big data clustering is proposed. Users' ...

Aiming at the problems of low extraction accuracy and efficiency of traditional network social media data feature extraction methods, this paper proposes a network social media data feature extraction method based on fuzzy mathematical model. Firstly, by ...

Aiming at the problems of low recommendation accuracy and low user interest in the existing methods, a news recommendation of social media platform based on improved collaborative filtering is designed. The initial key features of news data are ...

Aiming at the problems of low detection accuracy, recall and F1 value of traditional social media user information anomaly detection methods, a social media user information anomaly detection method based on data mining is proposed. Firstly, we clean the ...

Aiming at the problems of low retrieval accuracy and efficiency in semantic retrieval model of social media data, this paper studies semantic retrieval model of social media data based on statistical theory. Statistical theory and ontology of semantic ...

In order to improve the accuracy of the judgement of the development of news public opinion, this paper puts forward the research and judgement method of social network hot news public opinion based on knowledge graph. Through corpus annotation, ...

In order to improve the accuracy and efficiency of data mining of consumer purchase behaviour in mobile e-commerce, a data mining method of consumer purchase behaviour in mobile e-commerce is proposed. Firstly, through the calculation of support in ...

In order to improve the cross-modal retrieval accuracy of large-scale social media images, a cross-modal retrieval method for large-scale social media images based on spatial distribution entropy is proposed. First, extract the information features of ...

In order to effectively improve the prediction accuracy of e-commerce consumers' purchase behaviour and shorten the prediction time of e-commerce consumers' purchase behaviour, a prediction method of e-commerce consumers' purchase behaviour based on ...

In order to solve the problems of high information loss rate, poor encryption effect and long encryption time existing in traditional social network user browsing trajectory data encryption methods, this paper proposes an encryption method of social ...

In order to overcome the problems of small entropy, poor image definition and low information security in traditional methods, this paper proposes a social media user information security encryption method based on chaotic algorithm. Firstly, the general ...

In order to overcome the problems of poor evaluation effect, low accuracy and time-consuming of traditional methods, an evolution trend evaluation method of social media network public opinion based on unsupervised learning is proposed. Firstly, we ...

In order to overcome the problems of large analysis error and low mining accuracy of traditional hot topic data mining methods, this paper proposes a new social media hot topic data mining method based on time series clustering. Firstly, the topic ...

The research trend of live streams has become increasingly popular in recent years. Therefore, the study aimed to investigate the factors of live streaming platforms that successfully stimulate consumers to generate corresponding behavioural responses. ...

This article examines how a group of villagers in rural South India shot to online fame by posting entertaining audio-visual content on YouTube. Motivated to showcase the countryside culture, villagers began sharing short videos depicting their daily ...