Recommendation has a long history as a successful application area of Artificial
Intelligence. The demand of e-commerce platforms (eg, amazon. com) to improve the …

In this paper, we propose the Cold-start Resistant and Extensible Recommender (CoRE), a
novel recommender system that was developed as part of collaborative research with …

The online tourism industry has significantly developed in recent years. One prominent
feature of a tourism recommender system is to assist the users in finding out potential …

An important task in recommender systems is suggesting relevant venues in a city to a user.
These suggestions are usually created by exploiting the user's history of preferences, which …

Combining multiple points of interest (POIs) to attractive and reasonable tourist trips is a
challenge in the field of Recommender Systems (RSs). Even if a user likes going to …

Recommender systems are commonly used. We focus our emphasis mostly on how tourism
is used. Conferences have been thoroughly sought for many years. We provide a …

We consider the urban tourism scenario, which is characterized by limited availability of
information about individuals' past behaviour. Our system goal is to identify relevant next …

In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …

Abstract Context-Aware Recommender Systems are advisory applications that exploit users'
preference knowledge contained in datasets of context-dependent user ratings, ie, ratings …

In today's travel landscape, there'sa growing demand for experiences that cater specifically
to group travelers, whose needs often differ from those of solo travelers. Despite the …