RecSOI: recommending research directions using statements of ignorance
Adrien Bibal, Nourah M. Salem, Rémi Cardon, Elizabeth K. White, Daniel E. Acuna, Robin Burke, Lawrence E. Hunter

TL;DR
RecSOI is a system that recommends research directions by analyzing statements of ignorance in scientific literature.
Contribution
Introduces RecSOI, a novel recommender system for personalized research direction suggestions based on statements of ignorance.
Findings
RecSOI generates personalized research recommendations by analyzing textual elements in scientific literature.
The system provides contextual information to help researchers assess the relevance of suggested directions.
Evaluation shows RecSOI effectively guides researchers through a vast landscape of potential research avenues.
Abstract
The more science advances, the more questions are asked. This compounding growth can make it difficult to keep up with current research directions. Furthermore, this difficulty is exacerbated for junior researchers who enter fields with already large bases of potentially fruitful research avenues. In this paper, we propose a novel task and a recommender system for research directions, RecSOI, that draws from statements of ignorance (SOIs) found in the research literature. By building researchers’ profiles based on textual elements, RecSOI generates personalized recommendations of potential research directions tailored to their interests. In addition, RecSOI provides context for the recommended SOIs, so that users can quickly evaluate how relevant the research direction is for them. In this paper, we provide an overview of RecSOI’s functioning, implementation, and evaluation,…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsTopic Modeling · Advanced Text Analysis Techniques · Biomedical Text Mining and Ontologies
