Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Answering Top-k Queries Over a Mixture of Attractive and Repulsive
  Dimensions   In this paper, we formulate a top-k query that compares objects in a database
to a user-provided query object on a novel scoring function. The proposed
scoring function combines the idea of attractive and repulsive dimensions into
a general framework to overcome the weakness of traditional distance or
similarity measures. We study the properties of the proposed class of scoring
functions and develop efficient and scalable index structures that index the
isolines of the function. We demonstrate various scenarios where the query
finds application. Empirical evaluation demonstrates a performance gain of one
to two orders of magnitude on querying time over existing state-of-the-art
top-k techniques. Further, a qualitative analysis is performed on a real
dataset to highlight the potential of the proposed query in discovering hidden
data characteristics.

17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc