NAS employs a neural architecture with social behavioral attention to capture non-linear friend influences and generate more accurate recommendations than prior methods on public datasets.
Per- sonalized keyword boosting for venue suggestion based on multiple lbsns
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
ADC is a deep neural model with an adaptive algorithm that balances cross-domain losses to better handle varying user behaviors in collaborative filtering.
citing papers explorer
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A Neural Attention Model for Adaptive Learning of Social Friends' Preferences
NAS employs a neural architecture with social behavioral attention to capture non-linear friend influences and generate more accurate recommendations than prior methods on public datasets.
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Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering
ADC is a deep neural model with an adaptive algorithm that balances cross-domain losses to better handle varying user behaviors in collaborative filtering.