Applied Machine Learning for Information Retrieval

Dear Colleagues,

Searching through, organizing, and interpreting information has advanced significantly due to machine learning and information retrieval integration. Given the exponential growth of digital content, applying machine learning approaches to information retrieval is crucial for improving search relevancy, user experience, and data management. This Special Issue will present approaches and techniques that address current issues and pave the way for future research, with the goal being to showcase machine learning research and practical applications in the field of information retrieval.

We welcome submissions demonstrating how machine learning is beneficially utilized in different fields of information retrieval, such as search engines, recommendation systems, natural language processing, and multimedia retrieval. This Special Issue's topics of interest encompass, but are not restricted to, the following:

• Search and ranking algorithms
• Recommendation systems
• Natural language processing (NLP)
• Image and video retrieval
• User behavior modeling
• Information extraction
• Big data analytics
• Security and privacy
• Evaluation metrics and benchmarks
• Large language models (LLMs)

Dr. Gianni Costa
Dr. Riccardo Ortale
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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.