Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving tag recommendation by folding in more consistency   Tag recommendation is a major aspect of collaborative tagging systems. It
aims to recommend tags to a user for tagging an item. In this paper we present
a part of our work in progress which is a novel improvement of recommendations
by re-ranking the output of a tag recommender. We mine association rules
between candidates tags in order to determine a more consistent list of tags to
recommend.
  Our method is an add-on one which leads to better recommendations as we show
in this paper. It is easily parallelizable and morever it may be applied to a
lot of tag recommenders. The experiments we did on five datasets with two kinds
of tag recommender demonstrated the efficiency of our method.

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The categories of this paper are: chem-ph
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
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The categories of this paper are: patt-sol
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The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
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The categories of this paper are: plasm-ph
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex