Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A 2D based Partition Strategy for Solving Ranking under Team Context
  (RTP)   In this paper, we propose a 2D based partition method for solving the problem
of Ranking under Team Context(RTC) on datasets without a priori. We first map
the data into 2D space using its minimum and maximum value among all
dimensions. Then we construct window queries with consideration of current team
context. Besides, during the query mapping procedure, we can pre-prune some
tuples which are not top ranked ones. This pre-classified step will defer
processing those tuples and can save cost while providing solutions for the
problem. Experiments show that our algorithm performs well especially on large
datasets with correctness.

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The categories of this paper are: hep-ph
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an