New Advances in Information Retrieval
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 August 2025 | Viewed by 185
Special Issue Editor
Special Issue Information
Dear Colleagues,
As artificial intelligence continues to reshape information retrieval (IR) systems, there is a growing need to examine how these technologies can better serve human needs and foster meaningful human–AI collaboration. This Special Issue, “New Advances in Information Retrieval”, aims to explore innovative approaches that enhance the symbiosis between humans and IR systems, while addressing crucial challenges in responsible AI development and the social impact of AI technologies.
We welcome original research papers that advance our understanding of IR systems from both technical and human-centric perspectives and topics of interest may include, but are not limited to:
- Large language models for IR;
- Multimodal and cross-modal IR;
- Context-aware IR systems;
- Interactive and conversational IR;
- Human–AI collaborative search;
- Personalized recommendation and retrieval systems;
- Explainable IR systems;
- Fairness and transparency in IR systems;
- Privacy-preserving IR;
- Socially aware IR;
- Cognitive models in information seeking;
- Learning-oriented IR.
This Special Issue particularly encourages interdisciplinary research that connects technical innovation with human factors, cognitive science, and the social sciences. We welcome both empirical studies and theoretical frameworks that contribute to the advancement of human-centered IR systems.
Prof. Dr. Dan Wu
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- information retrieval
- information systems
- information seeking
- artificial intelligence
- machine learning
- natural language processing
- data mining
- human–AI interaction
- user behavior
- cognitive computing
- knowledge discovery
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