Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Fairness of Quality-based Data Markets   For data pricing, data quality is a factor that must be considered. To keep
the fairness of data market from the aspect of data quality, we proposed a fair
data market that considers data quality while pricing. To ensure fairness, we
first design a quality-driven data pricing strategy. Then based on the
strategy, a fairness assurance mechanism for quality-driven data marketplace is
proposed. In this mechanism, we ensure that savvy consumers cannot cheat the
system and users can verify each consumption with Trusted Third Party (TTP)
that they are charged properly. Based on this mechanism, we develop a fair
quality-driven data market system. Extensive experiments are performed to
verify the effectiveness of proposed techniques. Experimental results show that
our quality-driven data pricing strategy could assign a reasonable price to the
data according to data quality and the fairness assurance mechanism could
effectively protect quality-driven data pricing from potential cheating.

16
The categories of this paper are: stat
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con