Results 11 to 20 of about 228 (183)

Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care. [PDF]

open access: yesComput Intell Neurosci, 2022
There are two main ways to achieve an active lifestyle, the first is to make an effort to exercise and second is to have the activity as part of your daily routine. The study’s major purpose is to examine the influence of various kinds of physical engagements on density dispersion of participants in Shanghai, China, and even prototype check‐in data ...
Ullah H   +4 more
europepmc   +2 more sources

Continuous Use Intention of Mobile Social Network Information Service Based on User Behavior Perception. [PDF]

open access: yesComput Intell Neurosci, 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.
Lv J, Wang N, Ye Y, Li W.
europepmc   +2 more sources

UPTDNet: A User Preference Transfer and Drift Network for Cross‐City Next POI Recommendation

open access: yesInternational Journal of Intelligent Systems, Volume 2023, Issue 1, 2023., 2023
Cross‐city point of interest (POI) recommendation for tourists in an unfamiliar city has high application value but is challenging due to the data sparsity. Most existing models attempt to alleviate the sparsity problem by learning the user preference transfer and drift.
Taoru Yang   +4 more
wiley   +1 more source

Where is the consumer centre? A case of St. Petersburg

open access: yesRegional Science Policy &Practice, Volume 14, Issue 4, Page 916-938, August 2022., 2022
Abstract In an urban economy, the distribution of people and real estate prices depends on the location of the central business district of a city. As distance from the city centre increases, both prices and population density diminish, for travel costs increase in terms of time and money. As manufacturing gradually leaves the cities, the importance of
Konstantin Kholodilin   +2 more
wiley   +1 more source

DeePOF: A hybrid approach of deep convolutional neural network and friendship to Point‐of‐Interest (POI) recommendation system in location‐based social networks

open access: yesConcurrency and Computation: Practice and Experience, Volume 34, Issue 15, 10 July 2022., 2022
Abstract Today, millions of active users spend a percentage of their time on location‐based social networks like Yelp and Gowalla and share their rich information. They can easily learn about their friends' behaviors and where they are visiting and be influenced by their style.
Sadaf Safavi, Mehrdad Jalali
wiley   +1 more source

A topological model of trajectories with road network space

open access: yesTransactions in GIS, Volume 26, Issue 4, Page 1847-1878, June 2022., 2022
Abstract Spatiotemporal topological semantic information has attracted a lot of attention recently when exploring high‐level human movement features in geographic contexts. Although topological semantics between a trajectory and individual spatial objects have been studied extensively, few studies have focused on movements in the specific context of ...
Tao Wu   +4 more
wiley   +1 more source

Research on the Prediction System of Event Attendance in an Event‐Based Social Network

open access: yesWireless 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

Design and Application of Multiattribute Tourist Information Recommendation Model Based on User Interest

open access: yesWireless 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

[Retracted] Macro Education Approach to Improve Learning Interest under the Background of Artificial Intelligence

open access: yesWireless 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

[Retracted] Exploring the Hot News on the Internet Based on Recommendation Algorithm for College Students’ Ideological and Political Education

open access: yesMathematical 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

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