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Found 4 papers, 4 papers with code
Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning
Then, we learn a unified user representation from context, sentiment and topic representations and apply multi-task learning for inferring user’s gender and age simultaneously.
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences
Recent studies mainly utilize social information, categorical information and/or geographical information to supplement the highly sparse check-in data.
FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation
With the popularity of location-based social networks (LBSNs), Point-of-Interest (POI) recommendation has become an essential location-based service to help people explore novel locations.
CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking
First, we make full use of users’ check-in records and reviews to capture users’ intrinsic preferences (i. e., check-in, sentiment, and topic preferences).
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