Results 11 to 20 of about 817 (198)
A MAS-Based Approach for POI Group Recommendation in LBSN [PDF]
, 2020 Location-based recommender systems (LBRS) suggest friends, events, and places considering information about geographical locations. These recommendations can be made to individuals but also to groups of users, which implies satisfying the group as a whole.
Silvia N. Schiaffino +3 more
openaire +3 more sources
Locative Media and Identity [PDF]
SAGE Open, 2016 The role of location-based social networks (LBSNs) on identity is a relatively unexplored area within the growing cannon of work on locative media. Following an exegesis of Giddens’s argument that narrative biographical accounts are critical in self ...
Michael Saker, Leighton Evans
doaj +2 more sources
Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care. [PDF]
Comput 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
International Journal of Distributed Sensor Networks, 2014 In this paper, we investigate how user's online behavior (e.g., making friendships) and their offline activity (e.g., check-ins) affected each other by leveraging the data collected from LBSN.
Zhiwen Yu +4 more
doaj +2 more sources
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN
CoRRThe fast development of location-based social networks (LBSNs) has led to significant changes in society, resulting in popular studies of using LBSN data for socioeconomic prediction, e.g., regional population and commercial activity estimation.
Zhilun Zhou +5 more
openaire +4 more sources
A Stochastic Programming Method for OD Estimation Using LBSN Check-in Data [PDF]
, 2023 Dynamic OD estimators based on traffic measurements inevitably encounter the indeterminateness problem on the posterior OD flows as such systems structurally have more unknowns than constraints.
Antoniou, Constantinos +2 more
core +5 more sources
UPTDNet: A User Preference Transfer and Drift Network for Cross‐City Next POI Recommendation
International 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
Regional 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
A Survey of Studies on Deep Learning Applications in POI Recommendation [PDF]
Jisuanji gongcheng, 2022 In Location-Based Social Network(LBSN), users conduct check-ins at selected Point of Interest(POI) to record their trajectories, share feelings with their friends and form social friends.POI recommendation is an important service of LBSN to help users ...
TANG Jiaxin, CHEN Yang, ZHOU Mengying, WANG Xin
doaj +1 more source
Concurrency 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