The ever-increasing number of users and items continuously imposes new challenges to
existent clustering-based recommendation algorithms. To better simulate the interactions …

Point of interest recommendation is one of the imperative tasks in location-based social
networks. With the high influx of information, the recommendation has become a challenge …

Business locations is most important factor to consider before starting a business because
the best location attracts more number of people. With the help of web search engines, the …

Tasks allocation problem in heterogeneous and distributed-multiprocessing computing
environments is a nonlinear multi-objective NP-hard problem and from a research …

Location-based social networks (LBSN) is a new type of heterogeneous information network
(HIN). The check-in data usually has the characteristics of a large amount of data and high …

Under the background of the development of the new era, with the arrival of the big data era
and the development of computer technology, people are more and more inclined to use …

Resource allocation and their scheduling to optimize performance measures in
heterogeneous environments are famous such as an NP-hard issue, not only for the …

Abstract Users utilize Location-Based Social Networks (LBSNs) to check into diverse venues
and share their experiences through ratings and comments. However, these platforms …

With the emergence of 5G communication networks, the communication industry has
ushered in a new development direction. Based on this, 5G communication networks need …

The tasks scheduling issue on parallel processors in real-time system is part of the NP-hard
issues. This manuscript developed a model for solving the tasks scheduling issue in …