แนะนำงานวิจัย (AI Recommend)
ผลแนะนำสำหรับ "bidirectional graph"
จัดอันดับความเกี่ยวข้อง
(9 รายการ)
บทความประชุมวิชาการ
100% match
ระดับนานาชาติ
BiG: Bidirectional Graph Convolutional Networks for Social and Sequential Recommendation
Graph convolutional networks have obviously influenced recommender systems. However, we argue that previous research has limitations: 1) unidirectional approaches are not enough to...
วารสารวิชาการ
86% match
ระดับนานาชาติ (SCOPUS)
Q1
BiTG4Rec: Bidirectional Transformer Graphs for Sequential-Social Recommendation
Sequential-social recommendation systems are essential for understanding users’ evolving interests and predicting their future behaviors. While existing methods employing bidirecti...
บทความประชุมวิชาการ
78% match
ระดับนานาชาติ
GraphBERT4FakeNews: Graph-aware Bidirectional Transformer Learning for English Fake News Detection
The rapid dissemination of fake news through online news platforms and social media has become a major challenge, significantly influencing public opinion, political decision-makin...
วารสารวิชาการ
39% match
ระดับนานาชาติ (SCOPUS)
Q1
GCA4Rec: Graph-Based Co-Attention Networks for Sequential and Social Recommendation
The integration of sequential and social recommendations using a graph-based co-attention architecture marks a significant advancement in deep learning, substantially improving rec...
วารสารวิชาการ
36% match
ระดับนานาชาติ (SCOPUS)
Q4
HGT4REC: HYPERBOLIC GRAPH TRANSFORMER FOR SEQUENTIAL AND SOCIAL RECOMMENDATION
Sequential behaviors and social ties jointly shape user preferences; however, most prior work models them in isolation and relies on shallow fusion in Euclidean space, which strugg...
วารสารวิชาการ
35% match
ระดับนานาชาติ (SCOPUS)
Q1
HGKAN: Hyperbolic Graph-Based Kolmogorov–Arnold Network for Social Recommendation
Social recommendation utilizes social relationships to alleviate data sparsity and improve recommendation quality. Nevertheless, existing approaches still encounter several limitat...
วารสารวิชาการ
35% match
ระดับนานาชาติ (SCOPUS)
Q1
GCTMR: Graph Contrastive Transformer for Multibehavior Recommendation
Multibehavior recommendation aims to leverage diverse user interaction types—such as views, clicks, and purchases—to better understand user intent and enhance recommendation accura...
บทความประชุมวิชาการ
33% match
ระดับนานาชาติ
BERTGRU4Sentiment: Bidirectional Encoder Representations from Transformers with Gated Recurrent Unit
This study proposes BERTGRU4Sentiment, a deep learning model that combines fine-tuned Bidirectional Encoder Representations from Transformers (BERT) with a Gated Recurrent Unit (GR...
วารสารวิชาการ
10% match
ระดับนานาชาติ (อื่นๆ)
The Development of an Employment Website
This research aimed to create and evaluate an employment website, focusing on both technical quality and end-user satisfaction. Employing the System Development Life Cycle (SDLC) m...