Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Brain meets Bayesian Recommender - Towards Systems with Empathy
  for the Human Nature   In this paper we consider the modern theory of the Bayesian brain from
cognitive neurosciences in the light of recommender systems and expose
potentials for our community. In particular, we elaborate on noisy user
feedback and the thus resulting multicomponent user models, which have indeed a
biological origin. In real user experiments we observe the impact of both
factors directly in a repeated rating task along with recommendation. As a
consequence, this contribution supports the plausibility of contemporary
theories of mind in the context of recommender systems and can be understood as
a solicitation to integrate ideas of cognitive neurosciences into our systems
in order to further improve the prediction of human behaviour.

30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org