Papers

• HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report (2026)
  Minghao Li et al.
  4.39
• Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs (2026)
  Tianyi Tang et al.
  4.33
• Evaluating Social Engineering Risks in AI-based Interaction using Biometrics and a Gaming Setup (2026)
  Roberto Daza et al.
  1.94
• Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks (2025)
  Tri Kurniawan Wijaya et al.
  1.28
• Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms (2023)
  Linus W. Dietz and Pablo S\'anchez and Alejandro Bellog\'in
  0.28
• Food Recommendation using Ontology and Heuristics (2013)
  M. A. El-Dosuky et al.
  —
• A Model for Using Physiological Conditions for Proactive Tourist Recommendations (2019)
  Rinita Roy and Linus W. Dietz
  —
• recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms (2022)
  Michael Hahsler
  —
• Enhancing Healthcare Recommendation Systems with a Multimodal LLMs-based MOE Architecture (2024)
  Jingyu Xu et al.
  —