Recent Advances and Trends in Research Paper Recommender Systems: A Comprehensive Survey

TL;DR

This comprehensive survey analyzes recent developments in research paper recommender systems from late 2021 to 2024, highlighting techniques, datasets, evaluation methods, and challenges to guide future research in personalized literature recommendation.

Contribution

It offers an in-depth, structured review of recent techniques and implementation strategies, surpassing prior surveys by examining the entire recommendation process in detail.

Findings

Identification of emerging techniques and trends

Analysis of datasets and evaluation metrics used

Discussion of current challenges and future directions

Abstract

As the volume of scientific publications grows exponentially, researchers increasingly face difficulties in locating relevant literature. Research Paper Recommender Systems have become vital tools to mitigate this information overload by delivering personalized suggestions. This survey provides a comprehensive analysis of Research Paper Recommender Systems developed between November 2021 and December 2024, building upon prior reviews in the field. It presents an extensive overview of the techniques and approaches employed, the datasets utilized, the evaluation metrics and procedures applied, and the status of both enduring and emerging challenges observed during the research. Unlike prior surveys, this survey goes beyond merely cataloguing techniques and models, providing a thorough examination of how these methods are implemented across different stages of the recommendation process. By furnishing a detailed and structured reference, this work aims to function as a consultative resource for the research community, supporting informed decision-making and guiding future investigations in the advances of effective Research Paper Recommender Systems.