Results 91 to 100 of about 2,553,529 (294)

Dual Debiased Recommendation Model Based on Stacked Autoencoder and Reward Mechanism for Exposure Bias and Cold Start

IEEE Access
Personalized recommendation systems have become integral to e-commerce platforms, delivering tailored product suggestions by leveraging historical user–item interactions.
Peng Li, Lu Yao, Xiaoshan Li
doaj   +1 more source

Ultra‐Radiostable Covalent Conformationally Interlocked Networks Enabling a Universal Radiometal‐Labeling Platform for Cancer Radioembolization

Advanced Science, EarlyView.
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu, Zhenwen Zhao, Yangjie Wang, Zhigang Liu, Zhijie Liu, Xiaoling Li, Zhichen Mao, Lu Xu, Gan Lin, Gang Liu, Hongjuan Ma   +10 more
wiley   +1 more source

GCZRec: Generative Collaborative Zero-Shot Framework for Cold Start News Recommendation

IEEE Access
The aim of personalized news recommendation is to suggest news stories to the users that are most interesting for them. To improve the user experience, it is important that these news items are not only relevant to the user but also get recommended to ...
Syed Zain Ul Hassan, Muhammad Rafi, Jaroslav Frnda   +2 more
doaj   +1 more source

Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network

IEEE Access, 2019
With the rapid development of location-based social networks (LBSNs), point of interest (POI) recommendation has become more and more popular personalized service.
Kang Yang, Jinghua Zhu
doaj   +1 more source

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

Existing cold-start recommendation methods often adopt item-level alignment strategies to align the content feature and the collaborative feature of warm items for model training, however, cold items in the test stage have no historical interactions with
Chen, Ben, Sun, Chengjie, Wang, Wenbo, Guan, Jian, Shan, Lili, Liu, Bingquan   +5 more
core   +1 more source

Drought Stress Mediated Changes in Food Crops: Mechanisms and Remediation Strategies

Advanced Science, EarlyView.
This work presents a multi‐scale framework for flavonoid‐mediated drought tolerance in staple food crops, integrating ROS redox regulation, antioxidant defense, rhizosphere microbial interactions, and sustainable agronomic practices. This interdisciplinary model provides core insights to develop climate‐resilient cropping systems and enhance global ...
Xiaoyi Duan, Litao Wang, Tuuli‐Marjaana Koski, Lizhe An, Thomas Efferth, Yujie Fu   +5 more
wiley   +1 more source

Cold-Starts in Generative Recommendation: A Reproducibility Study

CoRR
Cold-start recommendation remains a central challenge in dynamic, open-world platforms, requiring models to recommend for newly registered users (user cold-start) and to recommend newly introduced items to existing users (item cold-start) under sparse or missing interaction signals.
Zhen Zhang, Jujia Zhao, Xinyu Ma 0001, Xin Xin 0003, Maarten de Rijke, Zhaochun Ren   +5 more
openaire   +2 more sources

Large Language Model Driven User Cold Start Recommendations [PDF]

The advent of new and powerful LLM models has given rise to innovative approaches to using large language models and recommendation systems. These models have been trained on a large corpus of data and world knowledge, which can be harnessed in ...
Dalvi, Shubham Prabhakar
core   +2 more sources

A NeuMF-Based Framework for Sparse E-Commerce Recommendation with Cold-Start Fallback

Applied Sciences
Personalized recommender systems have become essential in modern e-commerce by improving product discovery and enhancing user experience. However, recommendation performance is often limited by sparse user–item interactions and cold-start scenarios ...
Nermeen Kashef, Ola Ahmed Ali, El-Sayed M.E. Mostafa, Mahmoud Gamal   +3 more
doaj   +1 more source

Single‐Dose TACE‐Like Injection of Sustained‐Release Panobinostat/IL‐12 Polymeric Microparticles is Effective in Preclinical Liver Cancer Models

Advanced Science, EarlyView.
A novel PLGA/PBAE polymer microparticle platform revolutionizes intermediate‐stage liver cancer treatment by co‐delivering panobinostat and IL‐12 via a single TACE‐like injection. This sustained‐release system overcomes tumor immunosuppression, triggers robust innate and adaptive immune responses, and establishes tertiary lymphoid structures ...
Hongzhe Yu, Ling Li, Sachin S. Surwase, Xin Ming M. Zhou, Hongtao Qian, Joel C. Sunshine, Florin M. Selaru, Jordan J. Green   +7 more
wiley   +1 more source