Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DeepFair: Deep Learning for Improving Fairness in Recommender Systems   The lack of bias management in Recommender Systems leads to minority groups
receiving unfair recommendations. Moreover, the trade-off between equity and
precision makes it difficult to obtain recommendations that meet both criteria.
Here we propose a Deep Learning based Collaborative Filtering algorithm that
provides recommendations with an optimum balance between fairness and accuracy
without knowing demographic information about the users. Experimental results
show that it is possible to make fair recommendations without losing a
significant proportion of accuracy.

10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int