Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.
Kelong MaoXi XiaoJieming ZhuBiao LuRuiming TangXiuqiang HePublished in: SIGIR (2020)
Keyphrases
- information retrieval
- neural network
- information retrieval systems
- graph model
- metadata
- artificial neural networks
- graph representation
- directed graph
- random walk
- back propagation
- information extraction
- structured data
- graph structure
- social tagging systems
- text mining
- vector space model
- language model
- search engine
- test collection
- graph theoretic
- pattern recognition
- graph theory
- neural nets
- genetic algorithm
- information access
- graph mining
- feed forward
- neural network model
- user preferences
- document collections
- query expansion
- bp neural network
- graph databases
- graph partitioning
- activation function
- neural network is trained
- network architecture
- tf idf
- weighted graph
- recurrent neural networks
- retrieval model
- image retrieval
- fuzzy logic