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08/18/2023
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities
Most existing point-of-interest (POI) recommenders aim to capture user p...
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07/26/2023
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation
The conventional single-target Cross-Domain Recommendation (CDR) aims to...
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06/14/2023
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects
Conversational recommender systems (CRSs) have become crucial emerging r...
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09/01/2022
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
Current study on next POI recommendation mainly explores user sequential...
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08/29/2022
Understanding Diversity in Session-Based Recommendation
Current session-based recommender systems (SBRSs) mainly focus on maximi...
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06/22/2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Recently, one critical issue looms large in the field of recommender sys...
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01/14/2022
Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Re-ranking models refine the item recommendation list generated by the p...
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08/14/2020
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning
Many recent studies in deep reinforcement learning (DRL) have proposed t...
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11/10/2019
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
Recent studies have revealed that neural network-based policies can be e...
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10/18/2019
Attentive Knowledge Graph Embedding for Personalized Recommendation
Knowledge graphs (KGs) have proven to be effective for highquality recom...
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09/19/2019
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Recommender systems have become an essential tool to help resolve the in...
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09/05/2017
