Urban point-of-interest recommendation by mining user check-in behaviors
In recent years, researches on recommendation of urban Points-Of-Interest (POI), such as
restaurants, based on social information have attracted a lot of attention. Although a number …
restaurants, based on social information have attracted a lot of attention. Although a number …
Reinforcement learning based recommender system using biclustering technique
A recommender system aims to recommend items that a user is interested in among many
items. The need for the recommender system has been expanded by the information …
items. The need for the recommender system has been expanded by the information …
CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations
With the rapid growth of location-based social networks (LBSNs), location recommendations
play an important role in shaping the life of individuals. Fortunately, a variety of community …
play an important role in shaping the life of individuals. Fortunately, a variety of community …
A BiLSTM-CNN model for predicting users' next locations based on geotagged social media
Location prediction based on spatio-temporal footprints in social media is instrumental to
various applications, such as travel behavior studies, crowd detection, traffic control, and …
various applications, such as travel behavior studies, crowd detection, traffic control, and …
Spatiotemporal sequential influence modeling for location recommendations: A gravity-based approach
Recommending to users personalized locations is an important feature of Location-Based
Social Networks (LBSNs), which benefits users who wish to explore new places and …
Social Networks (LBSNs), which benefits users who wish to explore new places and …
Travel itinerary recommendations with must-see points-of-interest
Travelling and touring are popular leisure activities enjoyed by millions of tourists around the
world. However, the task of travel itinerary recommendation and planning is tedious and …
world. However, the task of travel itinerary recommendation and planning is tedious and …
TICRec: A probabilistic framework to utilize temporal influence correlations for time-aware location recommendations
In location-based social networks (LBSNs), time significantly affects users' check-in
behaviors, for example, people usually visit different places at different times of weekdays …
behaviors, for example, people usually visit different places at different times of weekdays …
Trust-aware location recommendation in location-based social networks: A graph-based approach
D Canturk, P Karagoz, SW Kim, IH Toroslu - Expert Systems with …, 2023 - Elsevier
With the increase in the use of mobile devices having location-related capabilities, the use of
Location-Based Social Networks (LBSN) has also increased, allowing users to share …
Location-Based Social Networks (LBSN) has also increased, allowing users to share …
A personalized point-of-interest recommendation model via fusion of geo-social information
R Gao, J Li, X Li, C Song, Y Zhou - Neurocomputing, 2018 - Elsevier
Recently, as location-based social networks (LBSNs) rapidly grow, general users utilize
point-of-interest recommender systems to discover attractive locations. Most existing POI …
point-of-interest recommender systems to discover attractive locations. Most existing POI …
Personalized trip recommendation with poi availability and uncertain traveling time
As location-based social network (LBSN) services become increasingly popular, trip
recommendation that recommends a sequence of points of interest (POIs) to visit for a user …
recommendation that recommends a sequence of points of interest (POIs) to visit for a user …