Results 41 to 50 of about 7,528,176 (292)

THE USE OF ACTIVE LEARNING IN A SITUATION OF A CYCLICAL COLD START OF THE RECOMMENDER SYSTEM

open access: yesВісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2018
The problem of constructing recommendations for electronic commerce systems under conditions of cyclic cold start is investigated. This problem occurs with the constant change of user interests over the period of use of the reference subsystem.
Volodymyr Oleksandrovich Leshchynskyi   +1 more
doaj   +1 more source

An embedded bandit algorithm based on agent evolution for cold-start problem

open access: yesInternational Journal of Crowd Science, 2021
PurposeMany recommender systems are generally unable to provide accurate recommendations to users with limited interaction history, which is known as the cold-start problem. This issue can be resolved by trivial approaches that select random items or the
Rui Qiu, Wen Ji
doaj   +1 more source

Extending adamic adar for cold-start problem in link prediction based on network metrics

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2022
The cold-start problem is a condition for a new node to join a network with no available information or an isolated node. Most studies use topological network information with the Triadic Closure principles to predict links in future networks.
Herman Yuliansyah   +2 more
doaj   +1 more source

A recommender algorithm based on SVD ++model under trust network

open access: yes大数据, 2021
Recommender algorithms are usually modeled based on user behavior data.However, the sparseness of explicit behavior data may cause the cold start problem of recommender algorithms.In order to solve the impact of data sparseness and cold-start problems on
Peiwu CHEN, Fangxing SHU
doaj  

Optimizing serverless functions cold start time. [PDF]

open access: yes, 2021
This paper overviews FaaS execution principles, shortcomings and advantages of such platforms, raises and describes the problem of function cold start and identifies factors for which this problem occurs.
Andzevičius, Darius,
core  

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

open access: yesAging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Development of Patient‐Reported Outcome Measures for Early Systemic Sclerosis Across Disease Subtypes

open access: yesArthritis Care &Research, Accepted Article.
Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene   +5 more
wiley   +1 more source

Cold-start Sequential Recommendation via Meta Learner

open access: yes, 2021
This paper explores meta-learning in sequential recommendation to alleviate the item cold-start problem. Sequential recommendation aims to capture user's dynamic preferences based on historical behavior sequences and acts as a key component of most ...
Zheng, Yujia   +3 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Item-centric Exploration for Cold Start Problem

open access: yesProceedings of the Nineteenth ACM Conference on Recommender Systems
Recommender systems face a critical challenge in the item cold-start problem, which limits content diversity and exacerbates popularity bias by struggling to recommend new items. While existing solutions often rely on auxiliary data, but this paper illuminates a distinct, yet equally pressing, issue stemming from the inherent user-centricity of many ...
Dong Wang 0076   +5 more
openaire   +3 more sources

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