Results 11 to 20 of about 1,559,851 (193)
Real Estate Recommendation Approach for Solving the Item Cold-Start Problem
IEEE Access, 2021 The item cold-start problem occurs when a recommendation system cannot recommend new items owing to record deficiencies and new listing omissions. When searching for real estate, users can register a concurrent interest in recent and prior projects. Thus,
Jirut Polohakul +3 more
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User Cold Start Problem in Recommendation Systems: A Systematic Review
IEEE Access, 2023 The recommendation system makes recommendations based on the preferences of the users. These user preferences usually come from the user’s basic information, item rating, historical data, and so on.
Hongli Yuan, Alexander A. Hernandez
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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
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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
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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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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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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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A Two-Stage Neural Network-Based Cold Start Item Recommender
Applied Sciences, 2021 Nowadays, recommendation systems have been successfully adopted in variant online services such as e-commerce, news, and social media. The recommenders provide users a convenient and efficient way to find their exciting items and increase service ...
Chieh-Yuan Tsai +2 more
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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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