Results 31 to 40 of about 3,999,655 (320)
Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection
IEEE Access, 2016 New item or topic profiling and recommendation are useful yet challenging, especially in face of a “cold-start” situation with sparse user-item ratings for the new arrivals.
Zhongchen Miao +5 more
doaj +1 more source
Annual Meeting of the Association for Computational Linguistics, 2023 We present PATRON, a prompt-based data selection method for pre-trained language model fine-tuning under cold-start scenarios, i.e., no initial labeled data are available.
Yue Yu +5 more
semanticscholar +1 more source
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process [PDF]
Web Search and Data MiningCross-domain recommendation (CDR) has been proven as a promising way to tackle the user cold-start problem, which aims to make recommendations for users in the target domain by transferring the user preference derived from the source domain.
Xiaodong Li +5 more
semanticscholar +1 more source
Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns
Algorithms, 2023 Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’
Antiopi Panteli, B. Boutsinas
semanticscholar +1 more source
FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing [PDF]
ACM Transactions on Software Engineering and Methodology, 2022 Serverless computing is a popular cloud computing paradigm that frees developers from server management. Function-as-a-Service (FaaS) is the most popular implementation of serverless computing, representing applications as event-driven and stateless ...
Xuanzhe Liu +7 more
semanticscholar +1 more source
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
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Recently, embedding techniques have achieved impressive success in recommender systems. However, the embedding techniques are data demanding and suffer from the cold-start problem.
Yongchun Zhu +7 more
semanticscholar +1 more source
Mechanical Engineering, 2014 This article explains how electrostatic discharge from oil can destroy sensitive and crucial engine components. All thermomechanical power systems contain a dielectric fluid – namely the circulating lubricant oil – where its circulation can create friction and cause a static electric charge to build up.
openaire +1 more source
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
doaj +1 more source
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario [PDF]
International Conference on Information and Knowledge Management, 2023 In modern commercial search engines and recommendation systems, data from multiple domains is available to jointly train the multi-domain model. Traditional methods train multi-domain models in the multi-task setting, with shared parameters to learn the ...
Yuqi Gong +5 more
semanticscholar +1 more source