  The next POI (point of interest) recommendation aims to predict users'
immediate future movements based on their prior records and present
circumstances, which will be very beneficial to service providers as well as
users. The popularity of the POI over time is one of the primary deciding
factors for choosing the next POI to visit. The majority of research in recent
times has paid more attention to the number of check-ins to define the
popularity of a point of interest, disregarding the temporal impact or number
of people checking in for a particular POI. In this paper, we propose a
recency-oriented definition of popularity that takes into account the temporal
effect on POI's popularity, the number of check-ins, as well as the number of
people who registered those check-ins. Thus, recent check-ins get prioritized
with more weight compared to the older ones. Experimental results demonstrate
that performance is better with recency-aware popularity definitions for POIs
than with solely check-in count-based popularity definitions.
