Results 41 to 50 of about 7,593,003 (291)
COCOA: cold start aware capacity planning for function-as-a-service platforms [PDF]
, 2020 Function-as-a-Service (FaaS) is increasingly popularin the software industry due to the implied cost-savings in event-driven workloads and its synergy with DevOps.
Gias, Alim +7 more
core +2 more sources
Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns
Algorithms, 2023 Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’
Antiopi Panteli, Basilis Boutsinas
doaj +1 more source
THE USE OF ACTIVE LEARNING IN A SITUATION OF A CYCLICAL COLD START OF THE RECOMMENDER SYSTEM
Вісник 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
International 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
IJAIN (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
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
A Norm-Minimization Algorithm for Solving the Cold-Start Problem with XNAV
CoRR, 2023 20 pages, 15 figures. Conference paper at the AAS/AIAA Astrodynamics Specialist Conference, Charlotte, NC, August 2022.
Linyi Hou, Zachary R. Putnam
openaire +3 more sources
Optimizing serverless functions cold start time. [PDF]
, 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
Aging 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
No Data? No Problem! A Search-Based Recommendation System With Cold Starts [PDF]
SSRN Electronic Journal, 2020 Recommendation systems are essential ingredients in producing matches between products and buyers. Despite their ubiquity, they face two important challenges. First, they are data-intensive, a feature that precludes sophisticated recommendations by some types of sellers, including those selling durable goods.
Gardete, Pedro M., Santos, Carlos D.
openaire +2 more sources