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.

翻译：本文研究发表场所推荐问题，旨在帮助研究人员为特定论文确定合适的期刊或会议。解决该问题的常见方法是构建定义各场所范围的配置文件，然后将这些配置文件与目标论文进行比对。在我们的方法中，我们将研究如何利用聚类技术构建基于主题的配置文件，并采用基于信息检索的方法获取最终推荐。此外，我们将探讨利用作者身份这一补充信息如何有助于改进推荐结果。