About the Journal
Intelligent Retrieval Journal (IRJ) is a peer-reviewed, open-access journal published by Python Publishing Press. It publishes research on how people and machines find, organise and make sense of information, from classic search engines to semantic and AI-assisted retrieval.
We welcome new models and algorithms, evaluation studies, systems papers and applications in areas such as digital libraries, enterprise search and e-commerce.
Aim & Scope
- Information retrieval models, ranking and relevance
- Semantic search, embeddings and neural retrieval
- Retrieval-augmented generation and question answering
- Recommender systems and personalisation
- Natural language processing for search and text understanding
- Knowledge graphs, ontologies and knowledge discovery
- Evaluation methods, test collections and user studies
- Digital libraries, enterprise and domain-specific search
Journal Information
- Title: Intelligent Retrieval Journal (IRJ)
- Publisher: Python Publishing Press (PPP), Hlavné námestie 12, 811 01 Bratislava, Slovakia
- First published: 2023
- Frequency: Half-yearly (two issues a year)
- Peer review: Double-blind, by at least two independent reviewers
- Licence: CC BY 4.0; authors keep their copyright
- DOI: registered with Crossref (prefix 10.70705)
- Article Processing Charges: see APC rates and waivers
- Indexing: Google Scholar, Crossref
- Language: English
- Contact: publisher@pythonpublishingpress.org