Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences

TL;DR

This paper introduces a novel scientific article recommendation method that leverages common author relations and researcher-specific features to improve recommendation accuracy for targeted researchers.

Contribution

It proposes a new approach that incorporates author relation features and researcher-specific information, enhancing personalized article recommendations.

Findings

The proposed features effectively identify relevant target researchers.

The method outperforms baseline approaches in recommendation accuracy.

Experiments on real-world data validate the approach's effectiveness.

Abstract

Scientific article recommender systems are playing an increasingly important role for researchers in retrieving scientific articles of interest in the coming era of big scholarly data. Most existing studies have designed unified methods for all target researchers and hence the same algorithms are run to generate recommendations for all researchers no matter which situations they are in. However, different researchers may have their own features and there might be corresponding methods for them resulting in better recommendations. In this paper, we propose a novel recommendation method which incorporates information on common author relations between articles (i.e., two articles with the same author(s)). The rationale underlying our method is that researchers often search articles published by the same author(s). Since not all researchers have such author-based search patterns, we present two features, which are defined based on information about pairwise articles with common author relations and frequently appeared authors, to determine target researchers for recommendation. Extensive experiments we performed on a real-world dataset demonstrate that the defined features are effective to determine relevant target researchers and the proposed method generates more accurate recommendations for relevant researchers when compared to a Baseline method.