GTR: An explainable Graph Topic-aware Recommender for scholarly document.
Ping NiXianquan WangBing LvLikang WuPublished in: Electron. Commer. Res. Appl. (2024)
Keyphrases
- document content
- document set
- topic discovery
- recommender systems
- random walk
- document level
- information retrieval systems
- topic hierarchy
- latent topics
- digital libraries
- graph structure
- graph theory
- scientific papers
- topic models
- textual content
- graph model
- graph representation
- document images
- graph mining
- bipartite graph
- retrieval systems
- web documents
- document collections
- information retrieval
- weighted graph
- cross document
- document corpus
- automatic summarization
- document representation
- document retrieval
- text documents
- statistical topic models
- focused crawler
- related documents
- vector representation
- tf idf
- directed acyclic graph
- vector space model
- document classification
- document clustering
- directed graph
- connected components
- text classification
- information extraction