Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient Skyline Querying with Variable User Preferences on Nominal
  Attributes   Current skyline evaluation techniques assume a fixed ordering on the
attributes. However, dynamic preferences on nominal attributes are more
realistic in known applications. In order to generate online response for any
such preference issued by a user, we propose two methods of different
characteristics. The first one is a semi-materialization method and the second
is an adaptive SFS method. Finally, we conduct experiments to show the
efficiency of our proposed algorithms.

18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
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The categories of this paper are: ao-sci
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The categories of this paper are: funct-an