Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …

Selecting the most appropriate places under different context is important contribution
nowadays for people who visit places for the first time. The aim of the work in this paper is to …

The popularity of location-based social networks has prompted researchers to study
recommendation systems for location-based services. When used separately, each existing …

Personality-aware recommendation systems have been proven to achieve high accuracy
compared to conventional recommendation systems. In addition to that, personality-aware …

Recommender systems are used to provide filtered information from a large amount of
elements. They provide personalized recommendations on products or services to users …

With the growing significance of the tourism industry and the increasing desire among
travelers to discover new destinations, there is a need for effective recommender systems …

Personalized itinerary recommendation is a complicated and challenging task, which aims
to construct and recommend a visit sequence consists of multiple Points of Interest (POIs) …

As mobile shopping has gradually become the mainstream shopping mode,
recommendation systems are gaining an increasingly wide adoption. Existing …

© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. New
contents like blogs and online videos are produced in every second in the new media age …

Recommendation systems (RSs) usually create suggestions based on users' prior
intentions. Users' interests may evolve due to context change or user-mode change …