An efficient location recommendation scheme based on clustering and data fusion
Recently, location-based social networks (LBSNs) have witnessed a significant
development, and have attracted millions of mobile users to share their locations and …
development, and have attracted millions of mobile users to share their locations and …
Pattern-based dual learning for point-of-interest (POI) recommendation
T Thaipisutikul, YC Chen - Industrial Management & Data Systems, 2020 - emerald.com
Purpose Tourism spot or point-of-interest (POI) recommendation has become a common
service in people's daily life. The purpose of this paper is to model users' check-in history in …
service in people's daily life. The purpose of this paper is to model users' check-in history in …
Multi-context-aware location recommendation using tensor decomposition
J Lu, MA Indeche - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid growth of information generated by online social network platforms and the
increased usage of Location-Based Social Networks, location recommendation research …
increased usage of Location-Based Social Networks, location recommendation research …
A multi-criteria point of interest recommendation using the dominance concept
M Davtalab, AA Alesheikh - Journal of Ambient Intelligence and …, 2023 - Springer
The learning similarity between users and points of interests (POIs) is an important function
in location-based social networks (LBSN), which could primarily benefit multiple location …
in location-based social networks (LBSN), which could primarily benefit multiple location …
A multiple cyclic-route generation method with route length constraint considering point-of-interests
T Nishimura, K Ishikawa, T Takayama… - … on Fundamentals of …, 2019 - search.ieice.org
With the spread of map applications, route generation has become a familiar function. Most
of route generation methods search a route from a starting point to a destination point with …
of route generation methods search a route from a starting point to a destination point with …
User Behavior Analysis of Location-Based Social Network
J Zeng, X He, Y Wu, S Hirokawa - 2018 7th International …, 2018 - ieeexplore.ieee.org
User behavior changes over time under the influence of their activities. We contend that
these activities are non-random behavior and have a desire to explore the underlying …
these activities are non-random behavior and have a desire to explore the underlying …