Relational POI recommendation model combined with geographic information. [PDF]
Li K, Wei H, He X, Tian Z.
europepmc +1 more source
Preference-Matched Multitask Assignment for Group Socialization under Mobile Crowdsensing. [PDF]
Zhang M, Chen S, Wei Z, Wu Y.
europepmc +1 more source
POI recommendation by incorporating trust-distrust relationship in LBSN
POI (point of interest) recommendation is an important personalized service in the LBSN (location-based social network) which has wide applications such as popular sights recommendation and travel routes planning.Most existing collaborative filter algorithms make recommendation according to user similarity and location similarity,they don’t consider ...
Jinghua ZHU, Qian MING
openaire +2 more sources
Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data. [PDF]
Fiorio L +6 more
europepmc +1 more source
An Electro-Oculogram (EOG) Sensor's Ability to Detect Driver Hypovigilance Using Machine Learning. [PDF]
Murugan S +4 more
europepmc +1 more source
Exchanging registered users' submitting reviews towards trajectory privacy preservation for review services in Location-Based Social Networks. [PDF]
Wang Y +7 more
europepmc +1 more source
A study on the refined population spatialization method integrating multi-source data: A case study of Yuxi city. [PDF]
Zhang F +5 more
europepmc +1 more source
Exploring IoT Location Information to Perform Point of Interest Recommendation Engine: Traveling to a New Geographical Region. [PDF]
Yang X, Zimba B, Qiao T, Gao K, Chen X.
europepmc +1 more source
Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. [PDF]
Wang P, Liu K, Wang D, Fu Y.
europepmc +1 more source

