An empirical study of personalized advertising recommendation based on DBSCAN clustering of sina weibo user-generated content

Huang, Yong; Huang, Weijing; Xiang, Xin; Yan, Jinjiang

doi:10.1016/j.procs.2021.02.063

Cited by 12 publications

(7 citation statements)

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“…Users who provide high-quality information are divided into trusted user groups, the content created is best attributed to program makers, users who post malicious information and spam are divided into unreliable user groups, and the generated content is censored. By strengthening the management of user activities, the ability of high-quality usercreated content can be significantly improved [13].…”

Section: Security Management Strategymentioning

confidence: 99%

Security Control Strategy of Converged Media Platform UGC Based on Blockchain Technology

Zhang

2022

Mobile Information Systems

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In the current society, the Internet of Things technology is gradually developing, among which there is blockchain technology. At present, it is also in a stage of steady development. After the information revolution, it is gradually entering the era of take-off, which is also the third project of the revolution. Blockchain technology is a general technology of digital currency. In this article, the comparison is made mainly from the perspectives of the safety factor of the fusion media platform, the efficiency of screening, the proportion of the quality of user-published content, and the credibility of user-generated content. This article uses the calculation method of the Merkle tree. The comparison found that the safety factor has increased by 22%, the screening efficiency has increased by about 10%, and the pros and cons of the creation of works have been significantly improved after the use of blockchain technology, at about 23%. The authenticity of the content on the converged media platform increased by 26%.

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Section: Security Management Strategymentioning

confidence: 99%

Security Control Strategy of Converged Media Platform UGC Based on Blockchain Technology

Zhang

2022

Mobile Information Systems

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“…Instead of having fixed values for minPts and eps, both of the values will be updated based on the data points. Huang et al [47] compared the performance of the traditional and adaptive DBSCAN in web usage mining. As result, the adaptive DBSCAN is seen to have a higher accuracy and recall score.…”

Section: Density-based Clusteringmentioning

confidence: 99%

“…V-measure [49], Intra-cluster distance [49], Accuracy [47,48], Recall [47], F-measure [47], intra-cluster distance [67].…”

Section: Dbscanmentioning

confidence: 99%

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A Review on Clustering Techniques: Creating Better User Experience for Online Roadshow

2021

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Online roadshow is a relatively new concept that has higher flexibility and scalability compared to the physical roadshow. This is because online roadshow is accessible through digital devices anywhere and anytime. In a physical roadshow, organizations can measure the effectiveness of the roadshow by interacting with the customers. However, organizations cannot monitor the effectiveness of the online roadshow by using the same method. A good user experience is important to increase the advertising effects on the online roadshow website. In web usage mining, clustering can discover user access patterns from the weblog. By applying a clustering technique, the online roadshow website can be further improved to provide a better user experience. This paper presents a review of clustering techniques used in web usage mining, namely the partition-based, hierarchical, density-based, and fuzzy clustering techniques. These clustering techniques are analyzed from three perspectives: their similarity measures, the evaluation metrics used to determine the optimality of the clusters, and the functional purpose of applying the techniques to improve the user experience of the website. By applying clustering techniques in different stages of the user activities in the online roadshow website, the advertising effectiveness of the website can be enhanced in terms of its affordance, flow, and interactivity.

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“…Huang ve Ark. Sina Weibo kullanıcılarının verilerini DBSCAN yöntemi ile kümeleyerek kullanıcıya özel reklam önerisinde bulunmuşlardır [22]. Hotait ve Ark.…”

Section: Introductionunclassified

Detection of Buildings in the Urban Transformation Process with Spatial Data Mining Methods

2022

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Since the 1950s, with the acceleration of industrialization in Turkey, a severe demand for labor has occurred, especially in big cities, and therefore a rapid internal migration movement has emerged. As a result of the migration movement, irregular growth and settlement activities started in big cities. As a result of this distinctive settlement, many problems have emerged, especially infrastructure problems. Urban transformation projects have an important place in the solution of these problems. Urban transformation projects are a process that starts with the announcement of the area and ends with the transfer of the title of the citizen. According to the location of the cadastral parcel that the city owns, the closest building to the parcel is drawn to determine which flat to live in. Selecting the nearest building to it is done by human hands. This situation negatively affects the process in terms of both speed and accuracy. Spatial data mining-based clustering is significant for big data because it can automatically classify data. Within the scope of this study, the building identification process with the human factor has been automated using data mining-based spatial clustering methods, K-Means, DBSCAN, and OPTICS algorithms. As a result of the experimental evaluations, it was determined that the OPTICS clustering algorithm gave the most accurate result.

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An empirical study of personalized advertising recommendation based on DBSCAN clustering of sina weibo user-generated content

Cited by 12 publications

References 1 publication

Security Control Strategy of Converged Media Platform UGC Based on Blockchain Technology

Security Control Strategy of Converged Media Platform UGC Based on Blockchain Technology

A Review on Clustering Techniques: Creating Better User Experience for Online Roadshow

Detection of Buildings in the Urban Transformation Process with Spatial Data Mining Methods

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