Results 21 to 30 of about 2,080,475 (297)
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
doaj +1 more source
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
doaj +1 more source
Approaches to “Cold-Start” in recommender systems [PDF]
, 2009 The paper explores the possibilities of handling cold start problems for recommenders associated with document-map based search ...
Kłopotek, M. A.
core +5 more sources
Deep Pairwise Hashing for Cold-start Recommendation [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2020 Recommendation efficiency and data sparsity problems have been regarded as two challenges of improving performance for online recommendation. Most of the previous related work focus on improving recommendation accuracy instead of efficiency. In this paper, we propose a Deep Pairwise Hashing (DPH) to map users and items to binary vectors in Hamming ...
Yan Zhang 0036 +5 more
openaire +5 more sources
Transferable Fairness for Cold-Start Recommendation
CoRR, 2023 With the increasing use and impact of recommender systems in our daily lives, how to achieve fairness in recommendation has become an important problem. Previous works on fairness-aware recommendation mainly focus on a predefined set of (usually warm-start) users. However, recommender systems often face more challenging fairness issues for new users or
Yunqi Li 0001 +3 more
openaire +2 more sources
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
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
START video for the Raw Materials Week 2023
, 2023 <p>START video for the Raw Materials Week 2023 (Brussels, 13-17 November, 2023), including an overview on the project and Starty on the Critical Raw Materials issues in the EU and the START contribution on that!</p ...
START project
core +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
doaj +1 more source
Factorizing LambdaMART for cold start recommendations [PDF]
Machine Learning, 2016 Recommendation systems often rely on point-wise loss metrics such as the mean squared error. However, in real recommendation settings only few items are presented to a user. This observation has recently encouraged the use of rank-based metrics. LambdaMART is the state-of-the-art algorithm in learning to rank which relies on such a metric.
Phong Nguyen 0002 +2 more
openaire +3 more sources