Aim & Scope
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.
Scope
We welcome original research articles, reviews, short communications and case-based studies in areas including:
- 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
Not sure whether your manuscript fits? Write to publisher@pythonpublishingpress.org with a short summary before you submit and the editors will tell you.
