COMLITTEE: Literature Discovery with Personal Elected Author Commitees

CHI 2023(2023)

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摘要
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 curating research threads from individual authors, finding new authors and papers using 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 compares to a paper-centric discovery system with author-highlighting, we demonstrate how COMLITTEE improves author and paper discovery.
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关键词
Scholarly discovery systems, paper and author recommendations, author-augmented literature discovery, interpretable relevance explanations, interactive machine learning
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