A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Recommender systems are important tools that provide information items to users, by
adapting to their characteristics and preferences. Usually items are recommended to …

Predicting the preferences of users and providing the personalized services or products
based on their preferences are the important issues. However, the research considering …

Developing group recommender systems (GRSs) is a vital requirement in many online
service systems to provide recommendations in contexts in which a group of users are …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

Planning travel to unfamiliar regions is a difficult task for novice travelers. The burden can be
eased if the resident of the area offers to help. In this paper, we propose a social itinerary …

Traveling to unfamiliar regions require a significant effort from novice travelers to plan where
to go within a limited duration. In this paper, we propose a smart recommendation for highly …

A hybrid method for personalized recommendation of news on the Web is presented, which
provides Web users with an autonomous tool that is able to minimize repetitive and tedious …

Systems involving artificial intelligence (AI) are protagonists in many everyday activities.
Moreover, designers are increasingly implementing these systems for groups of users in …

The mobile Internet allows users to obtain digitized contents and services from wired and
wireless networks virtually anywhere at any time via different handheld mobile devices …