Bid Landscape Forecasting and Cold Start Problem With Transformers
In Real-Time Bidding, advertisers aim to optimally bid within a limited budget constraint. Effective bidding strategies require bid landscape forecasting to predict the probability distribution of market price for each advertisement auction.
Daria Yakovleva +3 more
doaj +1 more source
Predict multi-type drug-drug interactions in cold start scenario. [PDF]
Liu Z, Wang XN, Yu H, Shi JY, Dong WM.
europepmc +1 more source
A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation
The cold-start problem in recommender systems has been facing a great challenge. Cross-domain recommendation can improve the performance of cold-start user recommendations in the target domain by using the rich information of users in the source domain ...
Yufang Liu +3 more
doaj +1 more source
GCZRec: Generative Collaborative Zero-Shot Framework for Cold Start News Recommendation
The aim of personalized news recommendation is to suggest news stories to the users that are most interesting for them. To improve the user experience, it is important that these news items are not only relevant to the user but also get recommended to ...
Syed Zain Ul Hassan +2 more
doaj +1 more source
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions. [PDF]
Bandeira AS +3 more
europepmc +1 more source
Studies of cold starting of IC engines carried out at Indian Institute of Petroleum (IIP) and field trials at high altitudes under sub-zero temperature conditions are described in this paper. Different operating factors influencing the cold starting of diesel engines and the role of starting aids developed at IIP have also been described.
openaire +1 more source
An Industrial Framework for Cold-Start Recommendation in Few-Shot and Zero-Shot Scenarios
With the rise of online advertising, e-commerce industries, and new media platforms, recommendation systems have become an essential product form that connects users with a vast number of candidates.
Xulei Cao +3 more
doaj +1 more source
Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. [PDF]
Nguyen TM, Nguyen T, Tran T.
europepmc +1 more source
Two-Dimensional Simulation of the Freezing Characteristics in PEMFCs during Cold Start Considering Ice Crystallization Kinetics. [PDF]
Jiang P +5 more
europepmc +1 more source
The exploding popularity of online content and its user base poses an evermore challenging matching problem for modern recommendation systems. Unlike other frontiers of machine learning such as natural language, recommendation systems are responsible for collecting their own data.
Jeon, Hong Jun +7 more
openaire +2 more sources

