LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation.
Dang Minh NguyenChenfei WangYan ShenYifan ZengPublished in: RecSys (2023)
Keyphrases
- neural network
- user preferences
- personalized recommendation
- cold start problem
- collaborative filtering
- image database
- small scale
- graph theory
- retrieval systems
- random walk
- artificial neural networks
- image retrieval
- information retrieval
- fuzzy logic
- long tail
- information retrieval systems
- item recommendation
- recommendation algorithms
- test collection
- making recommendations
- graph model
- graph structure
- latent factor models
- graph representation
- weighted graph
- real world
- recurrent neural networks
- bipartite graph
- pattern recognition
- recommender systems
- retrieval model
- structured data
- query expansion
- genetic algorithm
- music retrieval
- relevance feedback
- web search
- back propagation
- multilayer perceptron
- recommendation systems
- document retrieval
- directed acyclic graph
- user interests
- rating prediction
- connected components
- multimedia collections