Results 91 to 100 of about 208,309 (312)
Incorporating Recklessness to Collaborative Filtering based Recommender Systems [PDF]
, 2023 Diego Pérez-López +3 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
wiley +1 more source
Scalable deep learning-based recommendation systems
ICT Express, 2019 We propose a novel collaborative filtering algorithm based on deep neural networks. We use normalized user-rating vector and normalized item-rating vector as inputs to a neural network.
Hyeungill Lee, Jungwoo Lee
doaj +1 more source
, 2010 Recommender Systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Ghazanfar, Mustansar +1 more
core
Near-Optimal Algorithms for Online Matrix Prediction [PDF]
, 2012 In several online prediction problems of recent interest the comparison class is composed of matrices with bounded entries. For example, in the online max-cut problem, the comparison class is matrices which represent cuts of a given graph and in online ...
Hazan, Elad +2 more
core +1 more source
Advanced Engineering Materials, EarlyView.This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen +3 more
wiley +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2018 In this paper, we propose a global architecture of a recommender tool, which represents a part of an existing collaborative platform. This tool provides diagnostic documents for industrial operators. The recommendation process considered here is composed
Fatima Zohra Benkaddour +3 more
doaj +1 more source
Subjective Collaborative Filtering
, 2011 We present an item-based approach for collaborative filtering. We determine a list of recommended items for a user by considering their previous purchases. Additionally other features of the users could be considered such as page views, search queries, etc... In particular we address the problem of efficiently comparing items.
Caruso, Fabrizio +2 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Integrated collaborative filtering recommendation in social cyber-physical systems
International Journal of Distributed Sensor Networks, 2017 Cyber-physical systems are becoming part of our daily life, and a large number of data are generated at such an unprecedented rate that it becomes larger than ever before in social cyber-physical systems. As a consequence, it is highly desired to process
Jiachen Xu +4 more
doaj +1 more source