helpResearch questionAcademic Literature Discovery and Recommendation
How can users adjust highlight density to meet personalized needs without disrupting existing reading habits?IUI '23Scim: Intelligent Skimming Support for Scientific Papers
Recommendation, Personalization, and Exploration / Academic Literature Discovery and Recommendation
How can users adjust highlight density to meet personalized needs without disrupting existing reading habits?
Similar questions
helpResearch questionAcademic Literature Discovery and Recommendation
How can LLMs generate contextual descriptions between recommended papers and users' saved papers?helpResearch questionAcademic Literature Discovery and Recommendation
Can generated contextual descriptions improve researchers' efficiency in screening academic papers?helpResearch questionAcademic Literature Discovery and Recommendation
How can comparative summaries between recommended and saved papers be generated based on citation relationships and thematic associations?helpResearch questionAcademic Literature Discovery and Recommendation
How can intelligent highlighting systems help users quickly locate key content in academic papers?IUI '23Scim: Intelligent Skimming Support for Scientific Papers
helpResearch questionAcademic Literature Discovery and Recommendation
How can language model-based sentence classification improve scientific paper content extraction accuracy?IUI '23Scim: Intelligent Skimming Support for Scientific Papers
helpResearch questionAcademic Literature Discovery and Recommendation
How can user-selected author committees improve recommendation efficiency and quality of literature discovery systems?Related papers
CHI 2024
PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers
Yoonjoo Lee, Hyeonsu B Kang, Matt Latzke
CHI 2023
ComLittee: Literature Discovery with Personal Elected Author Committees
Hyeonsu B Kang, Nouran Soliman, Matt Latzke
CHI 2023
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg
UIST 2022
Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature
Hyeonsu B Kang, Joseph Chee Chang, Yongsung Kim
CHI 2022
Bursting Scientific Filter Bubbles: Boosting Innovation Via Novel Author Discovery
Jason Portenoy, Marissa Radensky, Jevin D West