Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BLC: Private Matrix Factorization Recommenders via Automatic Group
  Learning   We propose a privacy-enhanced matrix factorization recommender that exploits
the fact that users can often be grouped together by interest. This allows a
form of "hiding in the crowd" privacy. We introduce a novel matrix
factorization approach suited to making recommendations in a shared group (or
nym) setting and the BLC algorithm for carrying out this matrix factorization
in a privacy-enhanced manner. We demonstrate that the increased privacy does
not come at the cost of reduced recommendation accuracy.

7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin