Results 11 to 20 of about 1,807,508 (248)
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. This drawback limits their viability in practical scenarios where the satisfaction of existing warm users/items is paramount ...
Hao Chen 0062 +5 more
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Strategies to Reduce Emissions from Diesel Engines under Cold Start Conditions: A Review
Energies, 2023 Reducing diesel engine emissions under cold start conditions has become much more valuable as environmental issues become more important. Regarding diesel engine emissions under cold start conditions, this review summarizes the emission mechanisms and ...
Xuewen Zhang +3 more
doaj +1 more source
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 +6 more
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Research on emission fuel consumption cooperative test of heavy-duty gasoline vehicle under cold start [PDF]
E3S Web of ConferencesThis 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 +4 more
doaj +1 more source
Case Studies in Thermal Engineering, 2023 In order to mitigate the irreversible damage caused by cold start and preserve cell performance, this paper proposes a real-time prediction method based on the remaining cold start time of the proton exchange membrane fuel cell (PEMFC).
Huiying Zhang +3 more
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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 +2 more
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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 +5 more
core +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.
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Energies, 2020 A comprehensive analysis of combustion behaviour during cold, intermediately cold, warm and hot start stages of a diesel engine are presented. Experiments were conducted at 1500 rpm and 2000 rpm, and the discretisation of engine warm up into stages was ...
Faisal Lodi +7 more
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Agritech, 2014 A model of gas stove for traditional tofu industry was designed and tested. one of the focuses of cleaner production is energy efficiency, so the stove was designed to have good thermal efficiency and low energy consumption.
Andi Taufan +2 more
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