Implications of a Twitter data-centred methodology for assessing commuters' perceptions of the Delhi metro in India. [PDF]
Agrawal A, Kuriakose PN.
europepmc +1 more source
Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network. [PDF]
Kasgari AB +5 more
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Locative Media and Sociability: Using Location-Based Social Networks to Coordinate Everyday Life
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 ...
doaj +2 more sources
Bidirectional Trust-Enhanced Collaborative Filtering for Point-of-Interest Recommendation. [PDF]
An J, Jiang W, Li G.
europepmc +1 more source
Friend link prediction is an important issue in recommendation systems and social network analysis. In Location-Based Social Networks (LBSNs), predicting potential friend relationships faces significant challenges due to the diversity of user behaviors ...
Ziteng Yang +3 more
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Urban planners often seek to establish land use patterns around transit stations that encourage non-auto travel. However, the willingness of travelers to use different modes in the vicinity of transit remains understudied, in part because of the lack of ...
Zhiqiu Jiang, Andrew Mondschein
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A graph neural network framework based on preference-aware graph diffusion for recommendation. [PDF]
Shu T, Shi L, Zhu C, Liu X.
europepmc +1 more source
Contrasting social and non-social sources of predictability in human mobility. [PDF]
Chen Z +6 more
europepmc +1 more source
Context-Aware Knowledge Graph Learning for Point-of-Interest Recommendation
Existing point-of-interest (POI) recommendation methods often fail to capture complex contextual dependencies and suffer from severe data sparsity in location-based social networks (LBSNs).
Yan Zhou +3 more
doaj +1 more source
Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks. [PDF]
Ali K, Li CT, Chen YS.
europepmc +1 more source

