Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RNE: A Scalable Network Embedding for Billion-scale Recommendation   Nowadays designing a real recommendation system has been a critical problem
for both academic and industry. However, due to the huge number of users and
items, the diversity and dynamic property of the user interest, how to design a
scalable recommendation system, which is able to efficiently produce effective
and diverse recommendation results on billion-scale scenarios, is still a
challenging and open problem for existing methods. In this paper, given the
user-item interaction graph, we propose RNE, a data-efficient
Recommendation-based Network Embedding method, to give personalized and diverse
items to users. Specifically, we propose a diversity- and dynamics-aware
neighbor sampling method for network embedding. On the one hand, the method is
able to preserve the local structure between the users and items while modeling
the diversity and dynamic property of the user interest to boost the
recommendation quality. On the other hand the sampling method can reduce the
complexity of the whole method theoretically to make it possible for
billion-scale recommendation. We also implement the designed algorithm in a
distributed way to further improves its scalability. Experimentally, we deploy
RNE on a recommendation scenario of Taobao, the largest E-commerce platform in
China, and train it on a billion-scale user-item graph. As is shown on several
online metrics on A/B testing, RNE is able to achieve both high-quality and
diverse results compared with CF-based methods. We also conduct the offline
experiments on Pinterest dataset comparing with several state-of-the-art
recommendation methods and network embedding methods. The results demonstrate
that our method is able to produce a good result while runs much faster than
the baseline methods.

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The categories of this paper are: cond-mat
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The categories of this paper are: alg-geom
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The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
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The categories of this paper are: astro-ph
18
The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: hep-th
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The categories of this paper are: gr-qc
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The categories of this paper are: supr-con
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The categories of this paper are: patt-sol
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-bio