Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs
  RecOmmendation   With the emergence of mobile and wearable devices, push notification becomes
a powerful tool to connect and maintain the relationship with App users, but
sending inappropriate or too many messages at the wrong time may result in the
App being removed by the users. In order to maintain the retention rate and the
delivery rate of advertisement, we adopt Deep Neural Network (DNN) to develop a
pop-up recommendation system "Click sequence-aware deeP neural network
(DNN)-based Pop-uPs recOmmendation (C-3PO)" enabled by collaborative
filtering-based hybrid user behavioral analysis. We further verified the system
with real data collected from the product Security Master, Clean Master and CM
Browser, supported by Leopard Mobile Inc. (Cheetah Mobile Taiwan Agency). In
this way, we can know precisely about users' preference and frequency to click
on the push notification/pop-ups, decrease the troublesome to users
efficiently, and meanwhile increase the click through rate of push
notifications/pop-ups.

11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex