Results 81 to 90 of about 1,559,851 (193)

Bid Landscape Forecasting and Cold Start Problem With Transformers

open access: yesIEEE Access
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]

open access: yesBMC Bioinformatics, 2022
Liu Z, Wang XN, Yu H, Shi JY, Dong WM.
europepmc   +1 more source

A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation

open access: yesData Science and Engineering
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

open access: yesIEEE Access
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

Cold Starting of IC Engines

open access: yesDefence Science Journal, 1988
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

open access: yesInformation
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

Epinet for Content Cold Start

open access: yes
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

Home - About - Disclaimer - Privacy