Results 11 to 20 of about 3,999,655 (320)
Contrastive Collaborative Filtering for Cold-Start Item Recommendation [PDF]
The Web Conference, 2023 The cold-start problem is a long-standing challenge in recommender systems. As a promising solution, content-based generative models usually project a cold-start item’s content onto a warm-start item embedding to capture collaborative signals from item ...
Zhihui Zhou, Lili Zhang, Ning Yang
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions [PDF]
ACM Computing Surveys, 2023 Recently, academics and the corporate sector have paid attention to serverless computing, which enables dynamic scalability and an economic model. In serverless computing, users only pay for the time they actually use resources, enabling zero scaling to ...
Muhammed Golec +5 more
semanticscholar +1 more source
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions [PDF]
The Web Conference, 2023 Federated recommendation system usually trains a global model on the server without direct access to users' private data on their own devices. However, this separation of the recommendation model and users' private data poses a challenge in providing ...
Chunxu Zhang +5 more
semanticscholar +1 more source
ISPRS International Journal of Geo-Information, 2023 Next Point-of-Interest (POI) recommendation has shown great value for both users and providers in location-based services. Existing methods mainly rely on partial information in users’ check-in sequences, and are brittle to users with few interactions ...
Zheng Li +4 more
doaj +1 more source
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
doaj +1 more source
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 +4 more
doaj +1 more source
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck [PDF]
IEEE International Conference on Data Engineering, 2022 Recommender systems have been widely deployed in many real-world applications, but usually suffer from the long-standing user cold-start problem. As a promising way, Cross-Domain Recommendation (CDR) has attracted a surge of inter-est, which aims to ...
Jiangxia Cao +4 more
semanticscholar +1 more source
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