Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Personal Recommendation via Modified Collaborative Filtering   In this paper, we propose a novel method to compute the similarity between
congeneric nodes in bipartite networks. Different from the standard Person
correlation, we take into account the influence of node's degree. Substituting
this new definition of similarity for the standard Person correlation, we
propose a modified collaborative filtering (MCF). Based on a benchmark
database, we demonstrate the great improvement of algorithmic accuracy for both
user-based MCF and object-based MCF.

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The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
1
The categories of this paper are: cs
27
The categories of this paper are: comp-gas
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The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
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The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys