Scientific paper recommendation systems: a literature review of recent publications
Scientific writing builds upon already published papers. Manual identification of publications
to read, cite or consider as related papers relies on a researcher's ability to identify fitting …
to read, cite or consider as related papers relies on a researcher's ability to identify fitting …
Multi-view scholar clustering with dynamic interest tracking
Scholar clustering has garnered increasing attention due to the explosive growth of scholar
data. Although researchers have proposed many algorithms to cluster scholars, they …
data. Although researchers have proposed many algorithms to cluster scholars, they …
CoCNN: Co-occurrence CNN for recommendation
Under the assumption that items are independent and identically distributed, most existing
CF methods learn representation from user–item pairs, but ignore the connections among …
CF methods learn representation from user–item pairs, but ignore the connections among …
MuL-GRN: Multi-level graph relation network for few-shot node classification
Few-shot learning (FSL) that acquires new knowledge with little supervision, attracts much
attention due to expensive cost of data annotation. Various meta-learning methods have …
attention due to expensive cost of data annotation. Various meta-learning methods have …
Oag-bert: Towards a unified backbone language model for academic knowledge services
Academic Knowledge Services have substantially facilitated the development of human
science and technology, providing a plenitude of useful research tools. However, many …
science and technology, providing a plenitude of useful research tools. However, many …
Personalized query techniques in graphs: A survey
Graph is a famous data structure that has prevalent applications in the real world, including
social networks, biological networks, and computer networks. In these applications, graph …
social networks, biological networks, and computer networks. In these applications, graph …
Modeling User Viewing Flow using Large Language Models for Article Recommendation
This paper proposes the USer ViewING FLow ModEling (SINGLE) method for the article
recommendation task, which models the user constant preference and instant interest from …
recommendation task, which models the user constant preference and instant interest from …
Academic collaboration recommendation based on graph neural network and multi-attribute embedding
Academic collaboration recommendation (ACR) can help researchers find potential partners
for research and thus promote academic innovation. Recent works mostly use graph …
for research and thus promote academic innovation. Recent works mostly use graph …
Enhancing innovation through bayesian networks in recommender learning paths
In an era characterized by rapidly evolving educational paradigms, the imperative to foster
innovation and facilitate personalized learning experiences cannot be overstated …
innovation and facilitate personalized learning experiences cannot be overstated …
Multi-Interest Learning for Multi-Modal Paper Recommendation
To help researchers find papers of interest quickly and accurately, paper recommendations
are widely deployed. However, they face unique challenges, including the exploitation of …
are widely deployed. However, they face unique challenges, including the exploitation of …