Publication venue recommendation using profiles based on clustering

Fuente: arXiv
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Hauptverfasser: de Campos, Luis M., Fernández-Luna, Juan M., Huete, Juan F.
Format: Preprint
Veröffentlicht: 2024
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author de Campos, Luis M.
Fernández-Luna, Juan M.
Huete, Juan F.
author_facet de Campos, Luis M.
Fernández-Luna, Juan M.
Huete, Juan F.
contents 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 common 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 authorship, representing a complementary piece of information, helps to improve the recommendations.
format Preprint
id arxiv_https___arxiv_org_abs_2401_10611
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Publication venue recommendation using profiles based on clustering
de Campos, Luis M.
Fernández-Luna, Juan M.
Huete, Juan F.
Information Retrieval
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 common 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 authorship, representing a complementary piece of information, helps to improve the recommendations.
title Publication venue recommendation using profiles based on clustering
topic Information Retrieval
url https://arxiv.org/abs/2401.10611