Results 21 to 30 of about 283 (172)
Research on the Prediction System of Event Attendance in an Event‐Based Social Network
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 In recent years, an event‐based social network recommendation system has attracted more and more researchers’ attention. Most EBSN recommendation systems mainly focus on recommending events to users. However, in many daily activities, it is necessary to accurately estimate the number of event participants for EBSN event organizers.
Tianming Lan +4 more
wiley +1 more source
ISPRS International Journal of Geo-Information, 2020 The aim of the current study is to analyze and extract the useful patterns from Location-Based Social Network (LBSN) data in Shanghai, China, using different temporal and spatial analysis techniques, along with specific check-in venue categories.
Naimat Ullah Khan, Wanggen Wan, Shui Yu
doaj +1 more source
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 There exist various challenges introduced by a large number of multimedia photos and videos for personalized travel recommendation in the era of big data. In order to resolve such challenges, a context‐aware personalized travel recommendation system based on data mining is proposed in this study.
Jiangong Lian +2 more
wiley +1 more source
Applied Sciences, 2020 In the scenarios of location-based social networks (LBSN), the goal of location promotion is to find information propagators to promote a specific point-of-interest (POI).
Yi-Chun Chen, Cheng-Te Li
doaj +1 more source
International Journal of Applied Earth Observations and Geoinformation, 2021 One of the constraints in Wireless Sensor Network (WSN) is the limited power of distributed interconnected sensor nodes over the space. There are several proposed architectures for handling power consumption in a WSN.
Sepehr Honarparvar +3 more
doaj +1 more source
Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022 In order to improve the willingness of continuous use of mobile social network information services, this study combines user behavior perception to analyze the continuous use of mobile social network information services and proposes a data coverage optimization strategy based on service quality perception.
Jingjing Lv +4 more
wiley +1 more source
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 With the advent of the “Internet+” era, with the rapid development of emerging technologies such as the Internet of Things, cloud computing, big data, and artificial intelligence, the era of the technological change in education has arrived, with diversification of resources and large‐scale data.
Jianfeng Hou +3 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 College students are the main group of Internet users. With the development of electronic technology and mobile communication technology in China, most college students can easily use computers to access the Internet, and almost all college students use mobile phones, and using mobile phones to access the Internet has become very common in Colleges and
Yahong Su, Zhaojie Lv, Lianhui Li
wiley +1 more source
Session‐Based Graph Attention POI Recommendation Network
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 Point‐of‐interest (POI) recommendation which aims at predicting the locations that users may be interested in has attracted wide attentions due to the development of Internet of Things and location‐based services. Although collaborative filtering based methods and deep neural network have gain great success in POI recommendation, data sparsity and cold
Zhuohao Zhang +3 more
wiley +1 more source
User Model‐Based Personalized Recommendation Algorithm for News Media Education Resources
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Traditional recommendations for news and media education resources usually ignore the importance of sequential patterns in user check‐in behavior and fail to effectively capture the complex and dynamically changing interests of users. As a result, this study provides a recommendation model for news and media education materials based on a user model ...
Zhu Shilin, Naeem Jan
wiley +1 more source