Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards an automated query modification assistant   Users who need several queries before finding what they need can benefit from
an automatic search assistant that provides feedback on their query
modification strategies. We present a method to learn from a search log which
types of query modifications have and have not been effective in the past. The
method analyses query modifications along two dimensions: a traditional
term-based dimension and a semantic dimension, for which queries are enriches
with linked data entities. Applying the method to the search logs of two search
engines, we identify six opportunities for a query modification assistant to
improve search: modification strategies that are commonly used, but that often
do not lead to satisfactory results.

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The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex