Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

Abstract

Session-based recommendations are highly relevant in many modern on-line services (e.g. e-commerce, video streaming) and recommendation settings. Recently, Recurrent Neural Networks have been shown to perform very well in session-based settings. While in many session-based recommendation domains user identifiers are hard to come by, there are also domains in which user profiles are readily available. We propose a seamless way to personalize RNN models with cross-session information transfer and devise a Hierarchical RNN model that relays end evolves latent hidden states of the RNNs across user sessions. Results on two industry datasets show large improvements over the session-only RNNs.

Cited by in corpus (20)

• S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
• Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
• Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks
• Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
• CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
• Sequential Recommendation with Self-Attentive Multi-Adversarial Network
• MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
• Towards Neural Mixture Recommender for Long Range Dependent User Sequences
• Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
• Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation
• Signed Distance-based Deep Memory Recommender
• Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
• Leveraging Two Types of Global Graph for Sequential Fashion Recommendation
• Unsupervised Proxy Selection for Session-based Recommender Systems
• Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
• DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
• PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions
• Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network
• Learning Recommendations from User Actions in the Item-poor Insurance Domain
• Reusable Self-Attention Recommender Systems in Fashion Industry Applications