  This paper identifies the factors that have an impact on mobile recommender
systems. Recommender systems have become a technology that has been widely used
by various online applications in situations where there is an information
overload problem. Numerous applications such as e-Commerce, video platforms and
social networks provide personalized recommendations to their users and this
has improved the user experience and vendor revenues. The development of
recommender systems has been focused mostly on the proposal of new algorithms
that provide more accurate recommendations. However, the use of mobile devices
and the rapid growth of the internet and networking infrastructure has brought
the necessity of using mobile recommender systems. The links between web and
mobile recommender systems are described along with how the recommendations in
mobile environments can be improved. This work is focused on identifying the
links between web and mobile recommender systems and to provide solid future
directions that aim to lead in a more integrated mobile recommendation domain.
