Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: From Known to Unknown: Knowledge-guided Transformer for Time-Series
  Sales Forecasting in Alibaba   Time series forecasting (TSF) is fundamentally required in many real-world
applications, such as electricity consumption planning and sales forecasting.
In e-commerce, accurate time-series sales forecasting (TSSF) can significantly
increase economic benefits. TSSF in e-commerce aims to predict future sales of
millions of products. The trend and seasonality of products vary a lot, and the
promotion activity heavily influences sales. Besides the above difficulties, we
can know some future knowledge in advance except for the historical statistics.
Such future knowledge may reflect the influence of the future promotion
activity on current sales and help achieve better accuracy. However, most
existing TSF methods only predict the future based on historical information.
In this work, we make up for the omissions of future knowledge. Except for
introducing future knowledge for prediction, we propose Aliformer based on the
bidirectional Transformer, which can utilize the historical information,
current factor, and future knowledge to predict future sales. Specifically, we
design a knowledge-guided self-attention layer that uses known knowledge's
consistency to guide the transmission of timing information. And the
future-emphasized training strategy is proposed to make the model focus more on
the utilization of future knowledge. Extensive experiments on four public
benchmark datasets and one proposed large-scale industrial dataset from Tmall
demonstrate that Aliformer can perform much better than state-of-the-art TSF
methods. Aliformer has been deployed for goods selection on Tmall Industry
Tablework, and the dataset will be released upon approval.

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The categories of this paper are: cmp-lg
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The categories of this paper are: alg-geom
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The categories of this paper are: supr-con
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The categories of this paper are: mtrl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: econ
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The categories of this paper are: bayes-an
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: cond-mat
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The categories of this paper are: quant-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-ex
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The categories of this paper are: gr-qc
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The categories of this paper are: chem-ph