ComLittee: Literature Discovery with Personal Elected Author Committees
Hyeonsu B. Kang, Nouran Soliman, Matt Latzke, Joseph Chee Chang,, Jonathan Bragg

TL;DR
ComLittee is a literature discovery system that enhances research exploration by focusing on authors, enabling personalized author-centric curation and discovery, which improves efficiency, quality, and novelty in finding relevant papers and authors.
Contribution
The paper introduces ComLittee, a novel author-centric literature discovery system that supports personalized curation and improves research exploration over traditional paper-centric systems.
Findings
Higher efficiency in author discovery
Improved quality and novelty in research exploration
Enhanced paper discovery through author-centric signals
Abstract
In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors. Recent approaches have shown the usefulness of highlighting relevant authors while scholars engage in paper discovery. However, these systems do not capture and utilize users' evolving knowledge of authors. We reflect on the design space and introduce ComLittee, a literature discovery system that supports author-centric exploration. In contrast to paper-centric interaction in prior systems, ComLittee's author-centric interaction supports curation of research threads from individual authors, finding new authors and papers with combined signals from a paper recommender and the curated authors' authorship graphs, and understanding them in the context of those signals. In a within-subjects experiment that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
