Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Prediction of Investor Interest: a Supervised Clustering Approach   We propose a novel deep learning architecture suitable for the prediction of
investor interest for a given asset in a given time frame. This architecture
performs both investor clustering and modelling at the same time. We first
verify its superior performance on a synthetic scenario inspired by real data
and then apply it to two real-world databases, a publicly available dataset
about the position of investors in Spanish stock market and proprietary data
from BNP Paribas Corporate and Institutional Banking.

8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg