mlsanityData to 7 Oct 2026

Generating Personalized Recipes from Historical User Preferences

arXiv 1909.00105 ↗First posted 31 Aug 2019cs.CL cs.AI cs.LGcited by 52

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Abstract (arXiv)

Existing approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes. We propose a new task of personalized recipe generation to help these users: expanding a name and incomplete ingredient details into complete natural-text instructions aligned with the user's historical preferences. We attend on technique- and recipe-level representations of a user's previously consumed recipes, fusing these 'user-aware' representations in an attention fusion layer to control recipe text generation. Experiments on a new dataset of 180K recipes and 700K interactions show our model's ability to generate plausible and personalized recipes compared to non-personalized baselines.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Aug 2019.

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Citing papers per year: 2021: 4; 2022: 11; 2023: 15; 2024: 10; 2025: 9; 2026: 3.

52 papers.

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  1. 2023LaMP: When Large Language Models Meet Personalizationcited by 425
  2. 2023Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Mergingcited by 271
  3. 2023Aligning Language Models to User Opinionscited by 98
  4. 2024Optimization Methods for Personalizing Large Language Models through Retrieval Augmentationcited by 98
  5. 2023Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrieverscited by 91
  6. 2024From Matching to Generation: A Survey on Generative Information Retrievalcited by 89
  7. 2023Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedbackcited by 86
  8. 2025MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agentscited by 82
  9. 2023LLM-Rec: Personalized Recommendation via Prompting Large Language Modelscited by 77
  10. 2023The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Valuescited by 53
  11. 2024Exploring Safety-Utility Trade-Offs in Personalized Language Modelscited by 26
  12. 2024Guided Profile Generation Improves Personalization with LLMscited by 19
38 more
  1. 2024Personalized LoRA for Human-Centered Text Understandingcited by 17
  2. 2021Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modelingcited by 16
  3. 2023DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4cited by 16
  4. 2021SHARE: a System for Hierarchical Assistive Recipe Editingcited by 15
  5. 2023The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysiscited by 12
  6. 2024From Variability to Stability: Advancing RecSys Benchmarking Practicescited by 12
  7. 2024RecGPT: Generative Pre-training for Text-based Recommendationcited by 9
  8. 2025Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systemscited by 9
  9. 2023Cultural Adaptation of Recipescited by 6
  10. 2022Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenariocited by 5
  11. 2022Plug-and-Play Recipe Generation with Content Planningcited by 5
  12. 2023STEPS: A Benchmark for Order Reasoning in Sequential Taskscited by 5
  13. 2023In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrievalcited by 5
  14. 2023Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customizationcited by 5
  15. 2022Ratatouille: A tool for Novel Recipe Generationcited by 4
  16. 2022On the Generalizability and Predictability of Recommender Systemscited by 3
  17. 2024The Potential of AutoML for Recommender Systemscited by 3
  18. 2024Retrieval Augmented Recipe Generationcited by 3
  19. 2025Diffusion Models in Recommendation Systems: A Surveycited by 3
  20. 2025Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Studycited by 3
  21. 2022Scalable Sampling for Nonsymmetric Determinantal Point Processescited by 2
  22. 2022Assistive Recipe Editing through Critiquingcited by 2
  23. 2022Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processescited by 2
  24. 2022A Recommendation Approach based on Similarity-Popularity Models of Complex Networkscited by 2
  25. 2024Order-Based Pre-training Strategies for Procedural Text Understandingcited by 2
  26. 2021Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphscited by 1
  27. 2022Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformerscited by 1
  28. 202250 Ways to Bake a Cookie: Mapping the Landscape of Procedural Textscited by 1
  29. 2025World Food Atlas Projectcited by 1
  30. 2025Enhancing Rating Prediction with Off-the-Shelf LLMs Using In-Context User Reviewscited by 1
  31. 2021Efficient Attribute Injection for Pretrained Language Modelscited by 0
  32. 2022Consistent Collaborative Filtering via Tensor Decompositioncited by 0
  33. 2023Robust Reinforcement Learning Objectives for Sequential Recommender Systemscited by 0
  34. 2023CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Textcited by 0
  35. 2025ACE: A Cardinality Estimator for Set-Valued Queriescited by 0
  36. 2025Building a Macedonian Recipe Dataset: Collection, Parsing, and Comparative Analysiscited by 0
  37. 2025Evaluating LLMs' Reasoning Over Ordered Procedural Stepscited by 0
  38. 2026Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMscited by 0

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