SPORENLP: A Spatial Recommender System for Scientific Literature

Johannes Wirth, Daniel Roßner, René Peinl, Claus Atzenbeck

2023

Abstract

SPORENLP is a recommendation system designed to review scientific literature. It operates on a sub-dataset comprising 15,359 publications, with a total of 117,941,761 pairwise comparisons. This dataset includes both metadata comparisons and text-based similarity aspects obtained using natural language processing (NLP) techniques.Unlike other recommendation systems, SPORENLP does not rely on specific aspect features. Instead, it identifies the top k candidates based on shared keywords and embedding-related similarities between publications, enabling content-based, intuitive, and adjustable recommendations without excluding possible candidates through classification. To provide users with an intuitive interface for interacting with the dataset, we developed a web-based front-end that takes advantage of the principles of spatial hypertext. A qualitative expert evaluation was conducted on the dataset. The dataset creation pipeline and the source code for SPORENLP will be made freely available to the research community, allowing further exploration and improvement of the system.

Paper Citation

in Harvard Style

Wirth J., Roßner D., Peinl R. and Atzenbeck C. (2023). SPORENLP: A Spatial Recommender System for Scientific Literature. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-672-9, SciTePress, pages 429-436. DOI: 10.5220/0012210400003584

in Bibtex Style

@conference{webist23,
author={Johannes Wirth and Daniel Roßner and René Peinl and Claus Atzenbeck},
title={SPORENLP: A Spatial Recommender System for Scientific Literature},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2023},
pages={429-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012210400003584},
isbn={978-989-758-672-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - SPORENLP: A Spatial Recommender System for Scientific Literature
SN - 978-989-758-672-9
AU - Wirth J.
AU - Roßner D.
AU - Peinl R.
AU - Atzenbeck C.
PY - 2023
SP - 429
EP - 436
DO - 10.5220/0012210400003584
PB - SciTePress