Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Live Multi-Streaming and Donation Recommendations via Coupled
  Donation-Response Tensor Factorization   In contrast to traditional online videos, live multi-streaming supports
real-time social interactions between multiple streamers and viewers, such as
donations. However, donation and multi-streaming channel recommendations are
challenging due to complicated streamer and viewer relations, asymmetric
communications, and the tradeoff between personal interests and group
interactions. In this paper, we introduce Multi-Stream Party (MSP) and
formulate a new multi-streaming recommendation problem, called Donation and MSP
Recommendation (DAMRec). We propose Multi-stream Party Recommender System
(MARS) to extract latent features via socio-temporal coupled donation-response
tensor factorization for donation and MSP recommendations. Experimental results
on Twitch and Douyu manifest that MARS significantly outperforms existing
recommenders by at least 38.8% in terms of hit ratio and mean average
precision.

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The categories of this paper are: plasm-ph
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The categories of this paper are: physics
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The categories of this paper are: atom-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-th
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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn
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The categories of this paper are: ao-sci
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The categories of this paper are: q-fin
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con
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The categories of this paper are: funct-an
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The categories of this paper are: alg-geom