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Promoting cold-start items in recommender systems. [PDF]
PLoS ONE, 2014 As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online.
Jin-Hu Liu +5 more
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Research on cold start and new data evaluation method influence on RDE test for light-duty vehicles [PDF]
E3S Web of Conferences, 2021 The Real Driving Emission test (RDE) required in China 6 regulation (GB 18352.6-2016) followed the EU 6 regulation (EC 2016/646), where cold start is excluded in emission calculation.
Yan Feng +3 more
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Energies, 2021 The cold start property is one of the main factors restricting the fuel cell application in the automotive field. The constant voltage cold start method of the fuel cell works under low start voltage and produces high heat, which can shorten the start-up
Yanbo Yang +4 more
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Contribution of Cold Starts to Real-World Trip Emissions for Light-Duty Gasoline Vehicles
Atmosphere, 2022 For catalytic converter-equipped light-duty gasoline vehicles (LDGV), the hot-stabilized tailpipe emissions for pollutants such as carbon monoxide (CO), hydrocarbons (HC), and nitrogen oxides (NOx) are well controlled.
Jiangchuan Hu +2 more
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Representative-Based Cold Start for Adaptive SSVEP-BCI
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Objective: The tradeoff between calibration effort and model performance still hinders the user experience for steady-state visual evoked brain-computer interfaces (SSVEP-BCI).
Nanlin Shi +5 more
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Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
Applied Sciences, 2021 Recommender systems suggest items of interest to users based on their preferences. These preferences are typically generated from user ratings of the items. If there are no ratings for a certain user or item, it is said that there is a cold start problem,
Nor Aniza Abdullah +3 more
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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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Mitigating Cold Start Problem in Serverless Computing with Function Fusion
Sensors, 2021 As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services.
Seungjun Lee +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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