@misc{10481/86959,
year = {2022},
url = {https://hdl.handle.net/10481/86959},
abstract = {In this paper we study the venue recommendation problem in order to help
researchers to identify a journal or conference to submit a given paper. A com-
mon approach to tackle this problem is to build profiles defining the scope of
each venue. Then, these profiles are compared against the target paper. In
our approach we will study how clustering techniques can be used to construct
topic-based profiles and use an Information Retrieval based approach to obtain
the final recommendations. Additionally, we will explore how the use of author-
ship, representing a complementary piece of information, helps to improve the
recommendations.},
keywords = {Publication venue recommendation},
title = {Publication venue recommendation using profiles based on clustering},
doi = {10.1109/ACCESS.2022.3212531},
author = {Campos Ibáñez, Luis Miguel and Fernández Luna, Juan Manuel and Huete Guadix, Juan Francisco},
}