Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Search Result Clustering via Randomized Partitioning of Query-Induced
  Subgraphs   In this paper, we present an approach to search result clustering, using
partitioning of underlying link graph. We define the notion of "query-induced
subgraph" and formulate the problem of search result clustering as a problem of
efficient partitioning of given subgraph into topic-related clusters. Also, we
propose a novel algorithm for approximative partitioning of such graph, which
results in cluster quality comparable to the one obtained by deterministic
algorithms, while operating in more efficient computation time, suitable for
practical implementations. Finally, we present a practical clustering search
engine developed as a part of this research and use it to get results about
real-world performance of proposed concepts.

13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph