The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems.

Authors: Yuyan Wang¹, Pan Li², Minmin Chen³

Source: Working Papers (Faculty) - Stanford Graduate School of Business. Feb2025, p1-51. 51p.

Subject Terms: *Recommender systems, *Consumer preferences, *Artificial neural networks, Machine learning, Deep learning

Research on Recommendation System of Online Chinese Learning Resources Based on Multiple Collaborative Filtering Algorithms (RSOCLR).

Authors: Wang, Tianyu¹ (AUTHOR), Ge, Dong² (AUTHOR) gedong@ynnu.edu.cn

Source: International Journal of Human-Computer Interaction. Feb2025, Vol. 41 Issue 3, p1771-1781. 11p.

Subject Terms: *Recommender systems, Psychology of learning, Foreign language education, Individualized instruction, Online education, Computer assisted language instruction

How Today's Recommender Systems Use Machine Learning to Cater to Your Every Whim.

Authors: Kugler, Logan¹ (AUTHOR)

Source: Communications of the ACM. Aug2024, Vol. 67 Issue 8, p14-16. 3p.

Subject Terms: *Recommender systems, Generative artificial intelligence, Machine learning, Chatbots

HOW DATAVEILLANCE MESSAGING STRATEGIES SHAPE USER INTENTIONS IN VIDEO RECOMMENDER SYSTEMS: BALANCING SKEPTICISM AND CREDIBILITY.

Authors: Jooyoung Kim¹ jyk1095@kaist.ac.kr, Hangjung Zo¹

Source: AMA Winter Academic Conference Proceedings. 2025, Vol. 36, p62-65. 4p.

Subject Terms: *Recommender systems, *Consumer preferences, *Marketing strategy, *Consumer behavior, Skepticism

Android-based smart digital marketplace application on agricultural commodities using a new variant recommendation system.

Authors: Subiyanto¹, subiyanto@mail.unnes.ac.id, Wisika Prajanti, Sucihatiningsih Dian², dianwisika@mail.unnes.ac.id, Salim, Nur Azis¹, nurazissalim@mail.unnes.ac.id, Arif Prabowo, Setya Budi¹, setyabudiarifprabowo9f29@students.unnes.ac.id, Sutrisno, Deyndrawan¹, deyndrawansutrisno@students.unnes.ac.id, Anantyo, Andika¹, andikaanantyo@students.unnes.ac.id, Anggriani, Dewi¹, dewianggriani480@students.unnes.ac.id

Source: International Journal of Electrical & Computer Engineering (2088-8708); Apr2025, Vol. 15 Issue 2, p1968-1977, 10p

Optimization of Personalized English Learning Paths through Mobile Interaction Technology.

Authors: Ning Yang¹, yn@xafy.edu.cn

Source: International Journal of Interactive Mobile Technologies; 2025, Vol. 19 Issue 5, p195-209, 15p

Proposal for an Adaptive Recommender System to Support Teaching Practices.

Authors: Cuaya-Simbro, German¹, gcuaya@itesa.edu.mx, Gonzalez, Jose A.¹, Ruiz, Elias¹, Alemán, Helena CI², Barinas, Alexander²

Source: International Journal of Interactive Mobile Technologies; 2025, Vol. 19 Issue 5, p4-21, 18p

Emotional Dynamics in Human–Machine Interactive Systems: Effectively Measuring Kuhn Poker Approach with Experimental Validation.

Authors: Yang, Haoran¹, Liang, Shu^1,2, sliang@tongji.edu.cn

Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2811, 19p

AsGCL: Attentive and Simple Graph Contrastive Learning for Recommendation.

Authors: Li, Jie¹, Yang, Changchun², ycc@cczu.edu.cn

Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2762, 19p

MAISTRO: Towards an Agile Methodology for AI System Development Projects.

Authors: Petrin, Nilo Sergio Maziero¹, hcmariano@hotmail.com, Néto, João Carlos¹, Mariano, Henrique Cordeiro¹

Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2628, 40p

INTELLIGENT OPTIMIZATION AND RECOMMENDATION SYSTEM DESIGN FOR PERSONALIZED TRAINING PROGRAMS FOR MARATHON ATHLETES BASED ON MACHINE LEARNING.

Authors: LUXIA GUO¹, jtxytyz@163.com

Source: Scalable Computing: Practice & Experience; Mar2025, Vol. 26 Issue 2, p864-870, 7p

Light Graph Convolutional Recommendation Algorithm Based on Hybrid Spreading.

Authors: Duan, Yaowei¹, yaowei.duan@foxmail.com, Zhang, Liang¹, zliang@sdau.edu.cn, Lu, Xu¹, Li, Junqing¹

Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 4, p1898, 16p

Social Media, Mobile Payment, and Mobile Gaming for Intentional and Behavioral Recommendations.

Authors: Liao, Shu-Hsien¹, michael@mail.tku.edu.tw, Widowati, Retno², Tang, Wei¹

Source: International Journal of Human-Computer Interaction; Feb2025, Vol. 41 Issue 4, p2560-2578, 19p

Personalized Sports Health Recommendation System Assisted by Q-Learning Algorithm.

Authors: Yang, Yang¹, Zhao, Yuanji², 2019029@whsu.edu.cn

Source: International Journal of Human-Computer Interaction; Feb2025, Vol. 41 Issue 4, p1889-1901, 13p

A Mobile Technology-Based Framework for Digital Libraries: Bridging Accessibility and Personalized Learning.

Authors: Jia Fu¹, yanshi@mdjmu.edu.cn, Shi Yan¹, Xiangru Chen¹

Source: International Journal of Interactive Mobile Technologies; 2025, Vol. 19 Issue 4, p193-207, 15p

Gradient-Based Multiple Robust Learning Calibration on Data Missing-Not-at-Random via Bi-Level Optimization.

Authors: Gong, Shuxia¹ (AUTHOR), Ma, Chen² (AUTHOR) machen2001@ruc.edu.cn

Source: Entropy. Feb2025, Vol. 27 Issue 2, p196. 19p.

Subject Terms: *BILEVEL programming, *RECOMMENDER systems, *DIGITAL technology, *PREDICTION models, *CALIBRATION, *MULTIPLE imputation (Statistics)

A Robust Recommender System Against Adversarial and Shilling Attacks Using Diffusion Networks and Self-Adaptive Learning.

Authors: Alhwayzee, Ali¹ (AUTHOR), Araban, Saeed^1,2 (AUTHOR) araban@um.ac.ir, Zabihzadeh, Davood^1,2 (AUTHOR)

Source: Symmetry (20738994). Feb2025, Vol. 17 Issue 2, p233. 32p.

Subject Terms: *RECOMMENDER systems, *INFORMATION resources

Research on Personalized Course Resource Recommendation Method Based on GEMRec.

Authors: Wang, Enliang^1,2,3, 2022070803@njupt.edu.cn, Sun, Zhixin^1,2,3, sunzx@njupt.edu.cn

Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 3, p1075, 24p

Evaluating the Accessibility of Pedestrian Sidewalks to Connect Public Transport: A Pilot Study in Valparaíso, Chile.

Authors: Seriani, Sebastian¹, sebastian.seriani@pucv.clvicente.aprigliano@pucv.cl, Aprigliano, Vicente¹, alvaro.pena@pucv.cl, Peña, Alvaro¹, hector.briones.d@mail.pucv.cl, Briones, Hector¹, bernardo.arredondo@pucv.cl, Arredondo, Bernardo¹, jose.requesens@pucv.cl, Requesens, Jose¹, Fujiyama, Taku², taku.fujiyama@ucl.ac.uk

Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 3, p1106, 24p

Advancing explainable MOOC recommendation systems: a morphological operations-based framework on partially ordered neutrosophic fuzzy hypergraphs: Advancing explainable MOOC recommendation...: M. Shareef et al.

Authors: Shareef, Mehbooba^1,2, mehboobapshareef@gmail.com, Jose, Babita Roslind¹, babitajose@cusat.ac.in, Mathew, Jimson³, jimson@iitp.ac.in, Pruthviraja, Dayananda⁴, dayananda.p@manipal.edu

Source: Artificial Intelligence Review; Feb2025, Vol. 58 Issue 2, p1-44, 44p