Existing point-of-interesting (POI) recommendation methods lack sufficient integration of
information related to the features of individual users and their corresponding contexts …

Collaborative filtering is one of widely used recommendation approaches to make
recommendation services for users. The core of this approach is to improve capability for …

The cruise ship industry has faced in recent years a continuous increase in the number of
passengers, reaching 28.5 million passengers in 2018, 60.11% more than in 2009. In this …

The tremendous growth of the social web has inspired research communities to discover
social intelligence, which encompasses a wide spectrum of knowledge characterized by …

The user interaction in online social networks can not only reveal the social relationships
among users in e-commerce systems, but also imply the social preferences of a target user …

The use of apron buses for transporting passengers from the airport terminal to the airplane
has become common practice for a series of airports worldwide. Airline companies have …

Nowadays, the knowledge has become a principal source of competitive advantage similar
to other valuable resource and strategic assets in an organization. However, without proper …

This paper proposes a method for reducing the time to complete the boarding of a two-door
airplane when its passengers are transported from the airport terminal to the airplane using …

We present a QoS-aware recommender approach based on probabilistic models to assist
the selection of web services in open, distributed, and service-oriented environments. This …

Traditional collaborative filtering recommendation algorithm has the problems of sparse data
and limited user preference information. To deal with data sparseness problem and the …