lightbulbPractical problemAcademic Literature Discovery and Recommendation
Researchers struggle to quickly understand how recommended papers relate to their research, creating heavy screening burden.Direction: Recommendation, Personalization, and Exploration
Academic Literature Discovery and Recommendation
Stats are based on currently indexed question data; missing sources remain visible.
24
items
6
sources
2024
latest
All questions
6 items
lightbulbPractical problemAcademic Literature Discovery and Recommendation
Researchers struggle to efficiently browse large volumes of rapidly updating academic papers.IUI '23Scim: Intelligent Skimming Support for Scientific Papers
lightbulbPractical problemAcademic Literature Discovery and Recommendation
Researchers struggle to efficiently discover relevant authors and key literature, missing academic leads.lightbulbPractical problemAcademic Literature Discovery and Recommendation
Researchers struggle to judge the importance of large volumes of cited literature and may miss key studies.lightbulbPractical problemAcademic Literature Discovery and Recommendation
Researchers struggle to efficiently manage and track multiple research threads in scholarly literature.lightbulbPractical problemAcademic Literature Discovery and Recommendation
Researchers struggle to discover innovative academic content across fields.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
Adjacent categories
Recommendation, Personalization, and Exploration
Recommendation Control, Exploration, and Diversity
95 items
Recommendation, Personalization, and Exploration
Recommendation Algorithms, Ranking, and Social Recommendation
92 items
Recommendation, Personalization, and Exploration
Media Content Recommendation Exploration and Control
48 items
Recommendation, Personalization, and Exploration
User Control, Exploration, and Preference Feedback
36 items
Recommendation, Personalization, and Exploration
GenAI Personalized Content Generation
35 items
Recommendation, Personalization, and Exploration
Conversational and Dialogue-Based Recommendation
32 items
Recommendation, Personalization, and Exploration
Misinformation and Authenticity Judgment in Platform Recommendations
20 items
Recommendation, Personalization, and Exploration
Point-of-Interest Recommendation and Presentation Control
20 items