Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Point of Interest Recommendation Methods in Location Based Social
  Networks: Traveling to a new geographical region   Recommender systems in location based social networks mainly take advantage
of social and geographical influence in making personalized Points-of-interest
(POI) recommendations. The social influence is obtained from social network
friends or similar users based on matching visit history whilst the
geographical influence is obtained from the geographical footprints users'
leave when they check-in at different POIs. However, this approach may fall
short when a user moves to a new region where they have little or no activity
history. We propose a location aware POI recommendation system that models user
preferences mainly based on; user reviews and categories of POIs. We evaluate
our algorithm on the Yelp dataset and the experimental results show that our
algorithm achieves a better accuracy.

30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys