Personalized Sequence Generation in Food Recommender Systems

2026/03/23 by Alexandre Combeau, Vincent Guigue, Cristina Manfredotti +3 · 1 voice
Computer Science · Medicine · #Nutritional Studies and Diet #Recommender Systems and Techniques #Text and Document Classification Technologies

paper · doi:10.1145/3748522.3779963

openalex publication_date 2026/03/23 · openalex created_date 2026/05/12 · openalex updated_date 2026/07/29

Abstract

Sequential modeling has become a central paradigm in recommender systems, yet its application to the food domain remains limited by the lack of session-structured datasets. Existing public resources such as Allrecipes.com and Food.com record only static user-recipe interactions, where each user corresponds to a single session and temporal order is used only in time-aware models. Consequently, these datasets cannot capture intra-session item transitions or cross-session preference evolution.

Citations

• BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
• Self-Attentive Sequential Recommendation
• Sequence-Aware Recommender Systems
• Sequence-Aware Recommender Systems
• Food Recommender Systems: Important Contributions, Challenges and Future Research Directions
• Neural Collaborative Filtering
• Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
• Personalized Course Sequence Recommendations
• Session-based Recommendations with Recurrent Neural Networks
• Representation Learning: A Review and New Perspectives
• Representation Learning: A Review and New Perspectives
• Matrix Factorization Techniques for Recommender Systems

Discussions

• 📖 New LAMSADE paper: Personalized Sequence Generation in Food Recommender Systems. (SAC) https://doi.org/10.1145/3748522.3779963 [bsky, 0 points, 0 comments]

Related

• Exploring the Spatiotemporal Features of Online Food Recommendation Service
• Sequence-Aware Recommender Systems
• Sequence-Aware Recommender Systems
• Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
• Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach