The purpose of the study is to design and develop a recommended system based on agent
and web technologies, which utilizes a hybrid recommendation filtering for the smart tourism …

Web growth, especially in social networks, is continuously increasing every day. Multiplicity
of products offered and web pages has made picking up relevant items a tedious job. On the …

Objectives: To explore the area of groundwater that can assist to improve the accessibility of
freshwater. Methods: We propose a machine-deep learning model based on a …

Smart tourism refers to the application of information and communication technology for
developing innovative tools in tourism. It supports integrated efforts to find innovative ways to …

The presence of millions and millions of users and items makes real time filtering a time
consuming process in recommender systems (RS). In context aware recommender systems …

The road surface condition information is very useful for the safety of road users and to
inform road administrators for conducting appropriate maintenance. Roughness features of …

Requirements engineering (RE) is one of the most critical and complex processes in the
development of software project. RE becomes a matter of necessity rather than choice in …

Most of reservation systems are working on traditional methods and they are user
dependent. The requirements engineering process (REP) in these systems also works …

This paper presents an approach of bloom filter classifier and collaborative filtering to help
foreign student to choose the suitable faculty according to his nationality and number of …

The proposed approach will reduce the effects of sparsity, cold start, and scalability which
are common problems with the collaborative recommender systems. Also, the proposed …