Results 51 to 60 of about 3,999,655 (320)
IceBreaker: Solving Cold Start Problem for Video Recommendation Engines
, 2018 Internet has brought about a tremendous increase in content of all forms and, in that, video content constitutes the major backbone of the total content being published as well as watched.
Khaund, Abhigyan +5 more
core +1 more source
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
Survey on Solving Cold Start Problem in Recommendation Systems [PDF]
Jisuanji kexue yu tansuoRecommender systems provide important functions in areas such as dealing with data overload, providing personalized consulting services, and assisting clients in investment decisions. However, the cold start problem in recommender systems has always been
MAO Qian, XIE Weicheng, QIAO Yitian, HUANG Xiaolong, DONG Gang
doaj +1 more source
Factorizing LambdaMART for cold start recommendations
, 2015 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.
Alexandros Kalousis +9 more
core +2 more sources
OPML: A One-Pass Closed-Form Solution for Online Metric Learning [PDF]
, 2016 To achieve a low computational cost when performing online metric learning for large-scale data, we present a one-pass closed-form solution namely OPML in this paper.
Gao, Yang +5 more
core +3 more sources
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems
IEEE AccessThe cold-start issue in recommendation systems refers to the challenge of recommending items or users when minimal or no prior data is available. Meta-learning methods have emerged as a response to this challenge due to their ability to transfer prior ...
Jamallah M. Zawia +6 more
doaj +1 more source
A Probabilistic Model for the Cold-Start Problem in Rating Prediction using Click Data
, 2018 One of the most efficient methods in collaborative filtering is matrix factorization, which finds the latent vector representations of users and items based on the ratings of users to items.
Nguyen, ThaiBinh, Takasu, Atsuhiro
core +1 more source
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
Molecular Oncology, EarlyView.This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
A Multi-modal Modeling Framework for Cold-start Short-video Recommendation
ACM Conference on Recommender SystemsShort video has witnessed rapid growth in the past few years in multimedia platforms. To ensure the freshness of the videos, platforms receive a large number of user-uploaded videos every day, making collaborative filtering-based recommender methods ...
Gaode Chen +8 more
semanticscholar +1 more source