Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Step Out of Your Comfort Zone: More Inclusive Content Recommendation for
  Networked Systems   Networked systems are widely applicable in real-world scenarios such as
social networks, infrastructure networks, and biological networks. Among those
applications, we are interested in social networks due to their complexity and
popularity. One crucial task on the social network is to recommend new content
based on special characteristics of the graph structure. In this project, we
aim to enhance the recommender systems by preventing the recommendations from
leaning towards contents from closed communities. To counteract the bias, we
will consider information dissemination across network as a metric to assess
the recommendation for contents e.g. new connections and news feed. We use
academic collaboration network and user-item interaction datasets from Yelp to
simulate an environment for connection recommendations and to validate the
proposed algorithm.

32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org