Results 41 to 50 of about 200 (160)
Using Social Network Data and Space Syntax Analyses for Developing Urban Strategies: Kadıköy Case
Megaron, 2019 Cities are dynamic systems; consist of physical and social networks which interact each other constantly. In this age, an emergent term: Big Data -which is generated with activities that are taken shape in cities integrated with information technologies-
Taner Üsküplü, Birgül Çolakoğlu
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IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.Due to the rapid growth of online and technology development, every people have an own mobile to search their doubts and easily find it out within a second. Hypertext induced topic search (HITS) is a link analyzed algorithm utilized to find reliable websites that satisfy broad‐topic queries.
John Vaseekaran S. +2 more
wiley +1 more source
SgWalk: Location Recommendation by User Subgraph-Based Graph Embedding
IEEE Access, 2021 Popularity of Location-based Social Networks (LBSNs) provides an opportunity to collect massive multi-modal datasets that contain geographical information, as well as time and social interactions.
Deniz Canturk, Pinar Karagoz
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Customized Tip Summarization Based on Customer Preferences in Online Social Networks
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.There has been a serious issue with overload of data because of the abundance of consumer‐generated suggestions on location‐based social networks (LBSNs). The amount and fragmented nature of all these brief comments make it hard for users to efficiently gather relevant details customized to their interests, even when they provide useful, current data ...
Muhmmad Al-Khiza’ay +5 more
wiley +1 more source
A Paradigm of Temporal‐Weather‐Aware Transition Pattern for POI Recommendation
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1675-1687, December 2025.ABSTRACT Point of interest (POI) recommendation analyses user preferences through historical check‐in data. However, existing POI recommendation methods often overlook the influence of weather information and face the challenge of sparse historical data for individual users.
Junyang Chen +6 more
wiley +1 more source
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
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ISPRS International Journal of Geo-Information, 2023 With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user’s check-in behavior at the current moment by analyzing and mining ...
Jing Tian, Zilin Zhao, Zhiming Ding
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A Survey on Privacy Issues in Mobile Social Networks
IEEE Access, 2020 Mobile Social Networks (MSNs) are a category of social networks that have features of both traditional OSNs and Location-Based Social Networks (LBSNs).
Akshita Maradapu Vera Venkata Sai +1 more
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Spatial-Temporal Distance Metric Embedding for Time-Specific POI Recommendation
IEEE Access, 2018 With the growing popularity of location-based social networks (LBSNs), time-specific POI recommendation has become important in recent years, which provides more accurate recommendation services for users in specific spatio–temporal contexts.
Ruifeng Ding, Zhenzhong Chen, Xiaolei Li
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Locative Media and Sociability: Using Location-Based Social Networks to Coordinate Everyday Life
Architecture_MPS, 2018 Foursquare was a mobile social networking application that enabled people to share location with friends in the form of “check-ins.” The visualization of surrounding known social connections as well as unknown others has the potential to impact how ...
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