Results 71 to 80 of about 2,553,529 (294)

Alleviating Cold Start in the EOSC Recommendations: Extended Page Rank Algorithm

IEEE Access
Recommender systems are becoming crucial in academia, where the number of available scientific resources is continuously increasing. One of the main challenges of such systems is a cold start problem, which often occurs when new users have no preference ...
Marcin Wolski, Antoni Klorek, Anna Kobusinska   +2 more
doaj   +1 more source

Adaptive weighting-based hybrid recommender system: self-learning adaptive recommendation (SL-ARec) [PDF]

PeerJ Computer Science
Recommender systems are essential for delivering personalized experiences but suffer from data sparsity, cold-start issues, and limited exploration that leads to over-specialization.
Mustafa Enes Çakır, Zeynep Çetinkaya, Fahrettin Horasan, Ahmet Haşim Yurttakal   +3 more
doaj   +2 more sources

Dataset for Content-aware Neural Hashing for Cold-start Recommendation

, 2020
Data used in: Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, and Christina Lioma. 2020. Content-aware Neural Hashing for Cold-start Recommendation.
Hansen, C (via Mendeley Data), Hansen, Casper   +1 more
core   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Microgels Enable iPSCs to Assemble, Expand, and Differentiate Into Organoids—From Sizable to High‐Throughput

Advanced Materials, EarlyView.
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen, Matthias Mork, Ramin Nasehi, Vasudha Turuvekere Krishnamurthy, Kira Zeevaert, Aaron Babendreyer, Jacopo Di Russo, Wolfgang Wagner, Laura De Laporte   +8 more
wiley   +1 more source

Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems

, 2019
As one promising way to solve the challenging issues of data sparsity and cold start in recommender systems, crossdomain recommendation has gained increasing research interest recently.
Xu, Yang, Peng, Zhaohui, Wang, Senzhang, Fu, Wenjing, Li, Jin, Wenjing Fu, Senzhang Wang, Yang Xu, Zhaohui Peng, Jin Li   +9 more
core   +1 more source

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation

, 2023
Recommender systems have been widely adopted in various online personal e-commerce applications for improving user experience. A long-standing challenge in recommender systems is how to provide accurate recommendation to users in cold-start situations ...
Zhou, C, Wu, J, Lin, X, Cao, Y, Wang, B, Yin, D, Wang, S, Zou, L, Pan, S   +8 more
core   +1 more source

An Engineered Thio‐Amino Polymer Achieves Potent, Safe, and Broad Cell Type Delivery in the Lung Mapped by Spatial Transcriptomics

Advanced Materials, EarlyView.
Synthesis and screening of a polymer library produced a versatile and inhalable mRNA vehicle for the lungs (P81). Compared to a published LNP, P81 provides increased delivery efficacy, achieving widespread expression in broad cell types, with no toxicity.
Pramodkumar EK, Younghun Jung, Elex S. Rose, Jae Yeon Joo, James R. Rose, José A. F. Assumpção, Hyeyoon Jeong, Lorena C. S. Chaves, Blake Andrew Miller, João Paulo Pera Mendes, Hannah E. Peck, Charmy J. Patel, Loren E. Sasser, Heather Pathak, Varun V. Mosur, Jaehyeon Hwang, Guilherme de Oliveira Lopes, Merrilee Thoresen, Santiago Cornejo, Peres Badial, Alicia Olivier, Amelia R. Woolums, Samuele Stazzoni, Noemi Manganaro, Eleonora Nencini, Giulio Pierleoni, Emanuele Andreano, Rino Rappuoli, Nichole Orr‐Burks, Sarah R. Hosking, Nicholas S. Heaton, Eric R. Lafontaine, Robert J. Hogan, Francois Villinger, Daryll Vanover, Chiara Zurla, Philip J. Santangelo   +36 more
wiley   +1 more source

Collaborative filtering and deep learning based hybrid recommendation for cold start problem [PDF]

, 2016
Recommender systems (RS) are used by many social networking applications and online e-commercial services. Collaborative filtering (CF) is one of the most popular approaches used for RS.
Yi Zhou, Zuoyin Tang, Jianhua He, Chen, Kai, Wei, Jian, Zhou, Yi, Tang, Zuoyin, He, Jianhua, Jian Wei, Kai Chen   +9 more
core   +1 more source

Programmable Variable‐Stiffness Multilayer Elastomer Composites With High‐Aspect‐Ratio Low‐Melting‐Point Alloy Inclusions

Advanced Materials Technologies, EarlyView.
High‐aspect‐ratio low‐melting‐point alloy inclusions are embedded within multilayer silicone laminates to create thermally programmable stiffness. Sequential activation of alloy‐rich layers produces four distinct mechanical states and reconfigures tendon‐driven actuator trajectories under the same load.
Palpolage Don Shehan Hiroshan Gunawardane, Gyan Edbert Zesiro, Hao Zhou, Gursel Alici, Mu Chiao   +4 more
wiley   +1 more source