Multi-View Collaborative Training and Self-Supervised Learning for Group Recommendation by Feng Wei, Shuyu Chen

“…Recommendation systems offer an effective solution to information overload, finding widespread application across e-commerce, news platforms, and beyond. …”
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Network-Based Video Recommendation Using Viewing Patterns and Modularity Analysis: An Integrated Framework by Mehrdad Maghsoudi, Mohammad Hossein Valikhani, Mohammad Hossein Zohdi

“…The proliferation of video-on-demand (VOD) services has led to a paradox of choice, overwhelming users with vast content libraries and revealing limitations in current recommender systems. This research introduces a novel approach by combining implicit user data, such as viewing percentages, with social network analysis to enhance personalization in VOD platforms. …”
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Pic2Plate: A Vision-Language and Retrieval-Augmented Framework for Personalized Recipe Recommendations by Yosua Setyawan Soekamto, Andreas Lim, Leonard Christopher Limanjaya, Yoshua Kaleb Purwanto, Suk-Ho Lee, Dae-Ki Kang

“…The study underscores its potential to transform recipe recommendation systems with a scalable, user-centric approach to personalized cooking.…”
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Personalized tourism recommendation model based on temporal multilayer sequential neural network by XueFei Xiao, ChunHua Li, XingJie Wang, AnPing Zeng

“…However, the large temporal and spatial spans of trajectory data pose significant challenges to achieving high relevance and accuracy in personalized route recommendation systems. This study addresses these challenges by proposing a personalized tourism route recommendation model, the Temporal Multilayer Sequential Neural Network (TMS-Net). …”
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DualCFGL: dual-channel fusion global and local features for sequential recommendation by Shuxu Chen, Yuanyuan Liu, Chao Che, Ziqi Wei, Zhaoqian Zhong

“…Abstract Sequential recommendation systems capture the dynamic interests of users and predict their future preferences. …”
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AutoMEX: Streamlining material extrusion with AI agents powered by large language models and knowledge graphs by Haolin Fan, Junlin Huang, Jilong Xu, Yifei Zhou, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

“…Experimental validation demonstrated a query acceptance rate of 94.6% for the recommendation system and up to a 9.6% improvement in print strength when employing the recommended parameters. …”
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Individualized treatment recommendations for patients with locally advanced head and neck squamous cell carcinoma utilizing deep learning by Linmei Zhang, Enzhao Zhu, Jiaying Shi, Xiao Wu, Shaokang Cao, Sining Huang, Zisheng Ai, Jiansheng Su

“…DL models facilitate the establishment of a valid and reliable treatment recommendation system supported by quantitative evidence.…”
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Implementasi Weighted Product untuk memberikan Rekomendasi Prospek Pelanggan bagi Sales Marketing Berdasarkan Web Analytics by Fajar Pradana, Fitra Abdurrachman Bachtiar, Mochammad Dearifaldi Al Ikhsan

“…So it can be concluded that the recommendation system has a high level of accuracy. …”
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