Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WeiPS: a symmetric fusion model framework for large-scale online
  learning   The recommendation system is an important commercial application of machine
learning, where billions of feed views in the information flow every day. In
reality, the interaction between user and item usually makes user's interest
changing over time, thus many companies (e.g. ByteDance, Baidu, Alibaba, and
Weibo) employ online learning as an effective way to quickly capture user
interests. However, hundreds of billions of model parameters present online
learning with challenges for real-time model deployment. Besides, model
stability is another key point for online learning. To this end, we design and
implement a symmetric fusion online learning system framework called WeiPS,
which integrates model training and model inference. Specifically, WeiPS
carries out second level model deployment by streaming update mechanism to
satisfy the consistency requirement. Moreover, it uses multi-level fault
tolerance and real-time domino degradation to achieve high availability
requirement.

10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom