Results 61 to 70 of about 46,255 (310)

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Heterogeneous Collaborative Filtering

CoRR, 2019
Recommendation system is important to a content sharing/creating social network. Collaborative filtering is a widely-adopted technology in conventional recommenders, which is based on similarity between positively engaged content items involving the same users.
Yifang Liu, Zhentao Xu, Cong Hui, Yi Xuan, Jessie Chen, Yuanming Shan   +5 more
openaire   +2 more sources

Scale And Translation Invariant Collaborative Filtering Systems

, 2003
Collaborative filtering systems are prediction algorithms over sparse data sets of user preferences. We modify a wide range of state-of-the-art collaborative filtering systems to make them scale and translation invariant and generally improve their ...
Daniel Lemire, Lemire, Daniel
core   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Stereotype-aware collaborative filtering [PDF]

Annals of computer science and information systems, 2021
Gabriel Frisch, Jean-Benoist Leger, Yves Grandvalet   +2 more
doaj   +1 more source

Safe Collaborative Filtering

SSRN Electronic Journal
Excellent tail performance is crucial for modern machine learning tasks, such as algorithmic fairness, class imbalance, and risk-sensitive decision making, as it ensures the effective handling of challenging samples within a dataset. Tail performance is also a vital determinant of success for personalized recommender systems to reduce the risk of ...
Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura   +3 more
openaire   +3 more sources

Collaborative Filtering on Data Streams [PDF]

, 2005
Collaborate Filtering is one of the most popular recommendation algorithms. Most Collaborative Filtering algorithms work with a static set of data. This paper introduces a novel approach to providing recommendations using Collaborative Filtering when user rating is received over an incoming data stream.
Jorge M. Barajas, Xue Li 0001
openaire   +2 more sources

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

A Study of Scenic Spot Living Facility Recommendation Based on Collaborative Filtering

MATEC Web of Conferences, 2015
For the collection of massive complex information, the collaborative filtering system can work as a highly efficient information screening tool. It can recommend reasonable information reserve with multi angles according to the living service facility ...
Luo Wenbiao
doaj   +1 more source

Collaborative Filtering Recommendation Algorithm Combining Positive and Negative Similarities [PDF]

Jisuanji gongcheng, 2016
The sparsity of rating data is a common problem in collaborative filtering recommendation systems.This paper proposes a collaborative filtering recommendation algorithm based on positive and negative similarities which presents a calculation method of ...
ZHOU Hongyu,LIANG Gang,FENG Cheng,LIU Jiangdong
doaj   +1 more source