Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

Subjects: “…Recommendation systems…”
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Applying usability recommendations when developing mobile instant messaging applications by Sergio Caro‐Álvaro, Eva García‐López, Antonio García‐Cabot, Luis de‐Marcos, Adrián Domínguez‐Díaz

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Machine Learning in E-Commerce: Trends, Applications, and Future Challenges by Elias Dritsas, Maria Trigka

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RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction by Shun Fu, Junnan Li, Lufeng Wang

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<span style="font-variant: small-caps">DataToCare</span>: Predicting Treatments for Intensive Care Unit Patients Based on Similarity of Abnormalities by Shan Randhawa, Abbas Shojaee, Elisa Sorrentino, Yifan Li, Azza Abouzied, Dennis Shasha

Subjects: “…recommender system…”
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SKGRec: A Semantic-Enhanced Knowledge Graph Fusion Recommendation Algorithm with Multi-Hop Reasoning and User Behavior Modeling by Siqi Xu, Ziqian Yang, Jing Xu, Ping Feng

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Personalization of Content in Video-on-Demand Services: Insights from Satisfaction over Social Media Algorithms by Alicia Urgellés-Molina, PhD., Mónica Herrero, PhD.

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Mathematical model of data collection and processing for a recommendation system for forming an individualized educational program by O.H. Hlazunova, Y.Y. Ponzel

Subjects: “…recommendation system…”
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User preference modeling for movie recommendations based on deep learning by Yang Gao, Hong Zheng, Haonan Cui

Subjects: “…Recommendation systems…”
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Can We Teach Machines to Select Like a Plant Breeder? A Recommender System Approach to Support Early Generation Selection Decisions Based on Breeders’ Preferences by Sebastian Michel, Franziska Löschenberger, Christian Ametz, Herbert Bistrich, Hermann Bürstmayr

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Leveraging RAG With Transformer for Context-Based Personalized Recommendations by Faten S. Alamri, Amjad Rehman, Bayan Alghofaily, Adeel Ahmed, Khalid Saleem

Subjects: “…Recommender systems…”
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Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets by Jesús Bobadilla, Abraham Gutiérrez

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Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques by Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, Prabhashrini Dhanushika Manage, Jinglan Zhang, Yuefeng Li, Wayne Kelly

Subjects: “…Recommender systems…”
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A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis by Fatemeh Abbasi, Ameneh Khadivar, Mohsen Yazdinejad

Subjects: “…grouping recommender systems…”
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From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes by Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos

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A Comparative Study on the Integration of Eye-Tracking in Recommender Systems by Osamah M. Al-Omair

Subjects: “…recommender systems…”
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Data driven intelligent collaboration of software developers by Jian ZHANG, Xiangxin MENG, Hailong SUN, Xu WANG, Xudong LIU

Subjects: “…intelligent software development;big data;crowd collaboration;knowledge graph;recommender system…”
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Explainable Recommender Systems Through Reinforcement Learning and Knowledge Distillation on Knowledge Graphs by Alexandra Vultureanu-Albişi, Ionuţ Murareţu, Costin Bădică

Subjects: “…recommender systems…”
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Efficient Machine Learning Algorithms in Hybrid Filtering Based Recommendation System by . Ruchika, Mayank Sharma, Syed Akhter Hossain

Subjects: “…recommender system…”
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Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence by Michael Fellmann, Novica Zarvić, Oliver Thomas

Subjects: “…Recommender systems…”
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