Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Aesthetic Features for Personalized Photo Recommendation   Many photography websites such as Flickr, 500px, Unsplash, and Adobe Behance
are used by amateur and professional photography enthusiasts. Unlike
content-based image search, such users of photography websites are not just
looking for photos with certain content, but more generally for photos with a
certain photographic "aesthetic". In this context, we explore personalized
photo recommendation and propose two aesthetic feature extraction methods based
on (i) color space and (ii) deep style transfer embeddings. Using a dataset
from 500px, we evaluate how these features can be best leveraged by
collaborative filtering methods and show that (ii) provides a significant boost
in photo recommendation performance.

19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
2
The categories of this paper are: math
9
The categories of this paper are: nlin