Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Implementing Recommendation Algorithms in a Large-Scale Biomedical
  Science Knowledge Base   The number of biomedical research articles published has doubled in the past
20 years. Search engine based systems naturally center around searching, but
researchers may not have a clear goal in mind, or the goal may be expressed in
a query that a literature search engine cannot easily answer, such as
identifying the most prominent authors in a given field of research. The
discovery process can be improved by providing researchers with recommendations
for relevant papers or for researchers who are dealing with related bodies of
work. In this paper we describe several recommendation algorithms that were
implemented in the Meta platform. The Meta platform contains over 27 million
articles and continues to grow daily. It provides an online map of science that
organizes, in real time, all published biomedical research. The ultimate goal
is to make it quicker and easier for researchers to: filter through scientific
papers; find the most important work and, keep up with emerging research
results. Meta generates and maintains a semantic knowledge network consisting
of these core entities: authors, papers, journals, institutions, and concepts.
We implemented several recommendation algorithms and evaluated their efficiency
in this large-scale biomedical knowledge base. We selected recommendation
algorithms that could take advantage of the unique environment of the Meta
platform such as those that make use of diverse datasets such as a citation
networks, text content, semantic tag content, and co-authorship information and
those that can scale to very large datasets. In this paper, we describe the
recommendation algorithms that were implemented and report on their relative
efficiency and the challenges associated with developing and deploying a
production recommendation engine system.

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The categories of this paper are: hep-th
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The categories of this paper are: chem-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: cmp-lg
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The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
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The categories of this paper are: eess
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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: chao-dyn
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The categories of this paper are: patt-sol
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The categories of this paper are: nlin
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The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: mtrl-th
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The categories of this paper are: physics