Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Simulated Annealing with Levy Distribution for Fast Matrix
  Factorization-Based Collaborative Filtering   Matrix factorization is one of the best approaches for collaborative
filtering, because of its high accuracy in presenting users and items latent
factors. The main disadvantages of matrix factorization are its complexity, and
being very hard to be parallelized, specially with very large matrices. In this
paper, we introduce a new method for collaborative filtering based on Matrix
Factorization by combining simulated annealing with levy distribution. By using
this method, good solutions are achieved in acceptable time with low
computations, compared to other methods like stochastic gradient descent,
alternating least squares, and weighted non-negative matrix factorization.

31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin
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The categories of this paper are: comp-gas
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The categories of this paper are: cmp-lg
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The categories of this paper are: econ
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The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
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The categories of this paper are: solv-int