Results 11 to 20 of about 2,080,475 (297)

Graph Neural Patching for Cold-Start Recommendations

The cold start problem in recommender systems remains a critical challenge. Current solutions often train hybrid models on auxiliary data for both cold and warm users/items, potentially degrading the experience for the latter.
Yang, Yu, Chen, Hao, Bei, Yuanchen, Huang, Feiran, Wang, Zefan, Xu, Yue   +5 more
core   +4 more sources

Contrastive Learning for Cold-Start Recommendation [PDF]

Proceedings of the 29th ACM International Conference on Multimedia, 2021
Recommending cold-start items is a long-standing and fundamental challenge in recommender systems. Without any historical interaction on cold-start items, CF scheme fails to use collaborative signals to infer user preference on these items. To solve this problem, extensive studies have been conducted to incorporate side information into the CF scheme ...
Yinwei Wei, Xiang Wang 0010, Qi Li, Liqiang Nie, Yan Li 0068, Xuanping Li, Tat-Seng Chua   +6 more
openaire   +3 more sources

Towards Hyper-Relevance in Marketing: Development of a Hybrid Cold-Start Recommender System

Applied Sciences, 2023
Recommender systems position themselves as powerful tools in the support of relevance and personalization, presenting remarkable potential in the area of marketing.
Leonor Fernandes, Vera Miguéis, Ivo Pereira, Eduardo e Oliveira   +3 more
doaj   +1 more source

Real-Time Control of Gas Supply System for a PEMFC Cold-Start Based on the MADDPG Algorithm

Energies, 2023
During the cold-start process of a PEMFC, the supply of air and hydrogen in the gas supply system has a great influence on the cold-start performance. The cold-start of a PEMFC is a complex nonlinear coupling process, and the traditional control strategy
Lei Pan, Tong Zhang, Yuan Gao
doaj   +1 more source

Cold start link prediction

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010
In the traditional link prediction problem, a snapshot of a so- cial network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely to ap- pear in the future. In this paper, we introduce cold start link prediction as the problem of predicting the structure of a social network when the network itself is ...
Leroy, Vincent, Cambazoglu, B. Barla, Bonchi, Francesco   +2 more
openaire   +4 more sources

Research on emission fuel consumption cooperative test of heavy-duty gasoline vehicle under cold start [PDF]

E3S Web of Conferences
This paper conducts emissions and fuel consumption collaborative test of heavy-duty gasoline vehicle, which based on cold start with chassis dynamometer, the data analysis uses cold and hot coefficient weighting to evaluate the results.
Xu Dandan, Li Mengliang, Fang Maodong, Gao Dongzhi, Li Tengteng   +4 more
doaj   +1 more source

Cold-start collaborative filtering. [PDF]

ACM SIGIR Forum, 2016
Collaborative Filtering (CF) is a technique to generate personalised recommendations for a user from a collection of correlated preferences in the past. In general, the effectiveness of CF greatly depends on the amount of available information about the target user and the target item.
openaire   +4 more sources

Dynamic models for start-up operations of batch distillation columns with experimental validation [PDF]

, 2004
The simulation of batch distillation columns during start-up operations is a very challenging modelling problem because of the complex dynamic behaviour. Only few rigorous models for distillation columns start-up are available in literature and generally
Elgue, Sébastien, Le Lann, Jean-Marc, Cabassud, Michel, Prat, Laurent E., Prat, Laurent, Cezerac, Jérome   +5 more
core   +1 more source

Sparsity Regularization For Cold-Start Recommendation

CoRR, 2022
Recently, Generative Adversarial Networks (GANs) have been applied to the problem of Cold-Start Recommendation, but the training performance of these models is hampered by the extreme sparsity in warm user purchase behavior. In this paper we introduce a novel representation for user-vectors by combining user demographics and user preferences, making ...
Aksheshkumar Ajaykumar Shah, Hemanth Venkateswara   +1 more
openaire   +2 more sources

Numerical Simulation of the Cold-Start Process of Polymer Electrolyte Fuel Cell

Energies, 2023
In this study, the cold-start process of a polymer electrolyte fuel cell has been numerically investigated under various ambient temperatures and operating currents, ranging from subzero to 283 K.
Yazhou Chen, Sheng Li, Jie Peng, Weilin Zhuge, Yangjun Zhang   +4 more
doaj   +1 more source