Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive Neural Architectures for Recommender Systems   Deep learning has proved an effective means to capture the non-linear
associations of user preferences. However, the main drawback of existing deep
learning architectures is that they follow a fixed recommendation strategy,
ignoring users' real time-feedback. Recent advances of deep reinforcement
strategies showed that recommendation policies can be continuously updated
while users interact with the system. In doing so, we can learn the optimal
policy that fits to users' preferences over the recommendation sessions. The
main drawback of deep reinforcement strategies is that are based on predefined
and fixed neural architectures. To shed light on how to handle this issue, in
this study we first present deep reinforcement learning strategies for
recommendation and discuss the main limitations due to the fixed neural
architectures. Then, we detail how recent advances on progressive neural
architectures are used for consecutive tasks in other research domains.
Finally, we present the key challenges to fill the gap between deep
reinforcement learning and adaptive neural architectures. We provide guidelines
for searching for the best neural architecture based on each user feedback via
reinforcement learning, while considering the prediction performance on
real-time recommendations and the model complexity.

22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess