Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attention-based Fusion for Outfit Recommendation   This paper describes an attention-based fusion method for outfit
recommendation which fuses the information in the product image and description
to capture the most important, fine-grained product features into the item
representation. We experiment with different kinds of attention mechanisms and
demonstrate that the attention-based fusion improves item understanding. We
outperform state-of-the-art outfit recommendation results on three benchmark
datasets.

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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-alg
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The categories of this paper are: funct-an
2
The categories of this paper are: math
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: math-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-ex
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The categories of this paper are: plasm-ph
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The categories of this paper are: chem-ph