AI for Recommendation Systems and Their Applications

Dear Colleagues,

Recommendation systems play a critical role in modern intelligent services, driving personalization across varied domains such as e-commerce, social media, healthcare, education, finance, and smart cities. With the rapid advancement of artificial intelligence (AI), especially in deep learning, graph learning, reinforcement learning, and large language models, recommendation systems have undergone significant transformation in terms of modeling capability, scalability, and adaptability. 

This Special Issue will bring together cutting-edge research and practical advancements that explore how AI techniques can be leveraged to design, enhance, and deploy next-generation recommendation systems. We particularly encourage submissions that address real-world challenges, theoretical foundations, and innovative applications of AI-driven recommendation technologies.

Dr. Shoujin Wang
Dr. Longxiang Shi
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. AI is an international peer-reviewed open access monthly 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 1800 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.

• AI-powered recommendation models and algorithms
• multi-interest, multi-intent, and user behavior modeling
• sequential, session-based, and context-aware recommendation
• graph neural networks and knowledge-aware recommendation
• reinforcement learning and bandit-based recommendation systems
• contrastive, self-supervised, and representation learning for recommendation
• large language models and foundation models for recommendation
• explainable, trustworthy, and fair recommendation systems
• privacy-preserving and robust recommendation methods
• cross-domain, multi-modal, and multi-task recommendation
• recommendation systems for emerging applications (e.g., healthcare, education, smart manufacturing, cultural heritage, scientific discovery)
• industrial applications and real-world deployment of AI-based recommendation systems
• recommender systems for various applications in real-world domains, e.g., healthcare, education, agriculture, etc.