Results 41 to 50 of about 6,993,713 (204)

Cross-domain recommendation via user interest alignment

open access: yes, 2023
Cross-domain recommendation aims to leverage knowledge from multiple domains to alleviate the data sparsity and cold-start problems in traditional recommender systems. One popular paradigm is to employ overlapping user representations to establish domain
He, Ming   +4 more
core  

A Deep Dual Adversarial Network for Cross-domain Recommendation

open access: yes, 2023
Data sparsity is a common issue for most recommender systems and can severely degrade the usefulness of a system. One of the most successful solutions has been cross-domain recommender systems, which supplement the sparse data of the target domain with ...
Zhang, G   +9 more
core   +1 more source

Enhancing enterprise knowledge retrieval via cross-domain deep recommendation: a sparse data approach

open access: yesScientific Reports
Enterprise knowledge retrieval faces challenges like sparse data and inefficient cross-domain knowledge transfer, hindering traditional methods. To address this, we develop a cross-domain recommendation model (CDR-VAE), combining a hybrid autoencoder ...
Ting Li
doaj   +1 more source

An outer membrane vesicle‐associated two‐track model for enterotoxigenic Bacteroides fragilis oncogenesis

open access: yesMolecular Oncology, EarlyView.
Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi   +2 more
wiley   +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

RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User

open access: yesIEEE Access, 2020
Traditional recommendation algorithms such as matrix factorization, collaborative filtering perform poorly when lack of interactive information of user and product, known as the user cold-start problem, which may cut down the revenue of E-Commerce ...
Yaru Jin   +3 more
doaj   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

" Enhancing Cross Domain Recommendation with Domain Dependent Tags

open access: yes, 2020
-One challenge in recommender system is to deal with data sparsity. To handle this issue, social tags are utilized to bring disjoint domains together for knowledge transfer in cross-domain recommendation. The most intuitive way is to use common tags that
Peng Hao, Guangquan Zhang, Jie Lu
core  

GBS‐MeDIP: A method for the simultaneous identification of genetic and epigenetic variants in tumors

open access: yesFEBS Open Bio, EarlyView.
GBS‐MeDIP combines DNA sequencing with enrichment of methylated DNA to profile genetic and epigenetic variation in the same reduced genomic fraction. Applied to gastric cancer and parathyroid tumors, it identifies sequence variants, copy number changes, and differentially methylated regions together, helping distinguish true epigenetic changes from ...
Fábio Pértille   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy