Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: User recommendation in reciprocal and bipartite social networks -- a
  case study of online dating   Many social networks in our daily life are bipartite networks built on
reciprocity. How can we recommend users/friends to a user, so that the user is
interested in and attractive to recommended users? In this research, we propose
a new collaborative filtering model to improve user recommendations in
reciprocal and bipartite social networks. The model considers a user's "taste"
in picking others and "attractiveness" in being picked by others. A case study
of an online dating network shows that the new model has good performance in
recommending both initial and reciprocal contacts.

26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg