Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Subjective Functionality and Comfort Prediction for Apartment Floor
  Plans and Its Application to Intuitive Searches   This study presents a new user experience in apartment searches using
functionality and comfort as query items. This study has three technical
contributions. First, we present a new dataset on the perceived functionality
and comfort scores of residential floor plans using nine question statements
about the level of comfort, openness, privacy, etc. Second, we propose an
algorithm to predict the scores from the floor plan images. Lastly, we
implement a new apartment search system and conduct a large-scale usability
study using crowdsourcing. The experimental results show that our apartment
search system can provide a better user experience. To the best of our
knowledge, this study is the first work to propose a highly accurate prediction
model for the subjective functionality and comfort of apartments using machine
learning.

19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th