Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.
Kelong MaoXi XiaoJieming ZhuBiao LuRuiming TangXiuqiang HePublished in: CoRR (2020)
Keyphrases
- information retrieval
- neural network
- information retrieval systems
- search engine
- graph structure
- text mining
- artificial neural networks
- graph theory
- graph representation
- document collections
- graph theoretic
- metadata
- bipartite graph
- learning to rank
- document retrieval
- back propagation
- directed graph
- random walk
- fuzzy logic
- genetic algorithm
- part of speech
- network architecture
- graph model
- directed acyclic graph
- graph partitioning
- social tagging systems
- feed forward
- neural network is trained
- relevant documents
- probabilistic model
- self organizing maps
- query expansion
- connected components
- structured data
- question answering
- test collection
- clustering algorithm
- knn
- information extraction
- relevance feedback
- weighted graph
- fault diagnosis
- retrieval systems
- prediction model
- recurrent neural networks
- retrieval model