Cover Image

Building an Explainable Graph-based Biomedical Paper Recommendation System (Technical Report)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kroll, Hermann, Kreutz, Christin K., Thang, Bill Matthias, Schaer, Philipp, Balke, Wolf-Tilo
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval H.4
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ranking Narrative Query Graphs for Biomedical Document Retrieval (Technical Report)
by: Kroll, Hermann, et al.
Published: (2024)

Demonstrating Narrative Pattern Discovery from Biomedical Literature
by: Kroll, Hermann, et al.
Published: (2025)

A Library Perspective on Supervised Text Processing in Digital Libraries: An Investigation in the Biomedical Domain
by: Kroll, Hermann, et al.
Published: (2024)

Investigating Bias in Political Search Query Suggestions by Relative Comparison with LLMs
by: Haak, Fabian, et al.
Published: (2024)

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
by: Stray, Jonathan, et al.
Published: (2022)

Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
by: Du, Yingpeng, et al.
Published: (2024)

Dynamics in Search Engine Query Suggestions for European Politicians
by: Pradel, Franziska, et al.
Published: (2026)

GeoGPT-RAG Technical Report
by: Huang, Fei, et al.
Published: (2025)

Auditing Search Query Suggestion Bias Through Recursive Algorithm Interrogation
by: Haak, Fabian, et al.
Published: (2026)

Sim4IA-Bench: A User Simulation Benchmark Suite for Next Query and Utterance Prediction
by: Kruff, Andreas Konstantin, et al.
Published: (2025)

Evaluating Contrastive Feedback for Effective User Simulations
by: Kruff, Andreas Konstantin, et al.
Published: (2025)

HONEYBEE: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning[Technical Report]
by: Zhong, Hongbin, et al.
Published: (2025)

Graph Reasoning for Explainable Cold Start Recommendation
by: Frej, Jibril, et al.
Published: (2024)

First Workshop on Building Innovative Research Systems for Digital Libraries (BIRDS 2025)
by: Kreutz, Christin Katharina, et al.
Published: (2025)

How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics
by: Baumann, Oliver, et al.
Published: (2024)

Explaining Group Recommendations via Counterfactuals
by: Stratigi, Maria, et al.
Published: (2026)

Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems
by: Zhu, Winstead, et al.
Published: (2025)

Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation
by: Lin, Kun, et al.
Published: (2024)

Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation
by: Wardatzky, Kathrin, et al.
Published: (2024)

Second SIGIR Workshop on Simulations for Information Access (Sim4IA 2025)
by: Schaer, Philipp, et al.
Published: (2025)

Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing
by: Olasunkanmi, Olawumi, et al.
Published: (2024)

Perception-Aware Bias Detection for Query Suggestions
by: Haak, Fabian, et al.
Published: (2026)

Beyond Similarity Search: A Unified Data Layer for Production RAG Systems
by: Budigi, Venkata Krishna Prasanth, et al.
Published: (2026)

Formalized Information Needs Improve Large-Language-Model Relevance Judgments
by: Keller, Jüri, et al.
Published: (2026)

Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry
by: Abu-Rasheed, Hasan, et al.
Published: (2021)

SpannerLib: Embedding Declarative Information Extraction in an Imperative Workflow
by: Light, Dean, et al.
Published: (2024)

Pairwise Comparison for Bias Identification and Quantification
by: Haak, Fabian, et al.
Published: (2025)

A Recommender System Based on Binary Matrix Representations for Cognitive Disorders
by: Kutil, Raoul H., et al.
Published: (2025)

Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation
by: Xiao, Jing, et al.
Published: (2026)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
by: Lemdiasova, Ekaterina, et al.
Published: (2026)

LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
by: Takehi, Rikiya, et al.
Published: (2024)

FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing
by: Yan, Zhenxing, et al.
Published: (2026)

Requirements for a Digital Library System: A Case Study in Digital Humanities (Technical Report)
by: Kroll, Hermann, et al.
Published: (2024)

Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment
by: Levonian, Zachary, et al.
Published: (2022)

Privacy Preserving Conversion Modeling in Data Clean Room
by: Li, Kungang, et al.
Published: (2025)

CombiGCN: An effective GCN model for Recommender System
by: Nguyen, Loc Tan, et al.
Published: (2025)

Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
by: Stoecker, Theodor, et al.
Published: (2025)

From BM25 to Corrective RAG: Benchmarking Retrieval Strategies for Text-and-Table Documents
by: Akarsu, Meftun, et al.
Published: (2026)

A Fuzzy Approach to Record Linkages
by: Biswas, Pratik K.
Published: (2024)

Bibliometric Data Fusion for Biomedical Information Retrieval
by: Breuer, Timo, et al.
Published: (2023)