Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Membership in social networks and the application in information
  filtering   During the past a few years, users' membership in the online system (i.e. the
social groups that online users joined) are wildly investigated. Most of these
works focus on the detection, formulation and growth of online communities. In
this paper, we study users' membership in a coupled system which contains
user-group and user-object bipartite networks. By linking users' membership
information and their object selection, we find that the users who have
collected only a few objects are more likely to be "influenced" by the
membership when choosing objects. Moreover, we observe that some users may join
many online communities though they collected few objects. Based on these
findings, we design a social diffusion recommendation algorithm which can
effectively solve the user cold-start problem. Finally, we propose a
personalized combination of our method and the hybrid method in [PNAS 107, 4511
(2010)], which leads to a further improvement in the overall recommendation
performance.

26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin