Delivery Hero Recommendation Dataset

The dataset was released with the paper "Delivery Hero Recommendation Dataset: A Novel Dataset for Benchmarking Recommendation Algorithms" at RecSys23.

This repository includes a series of notebooks exploring various aspects of the dataset with a view to develop novel approaches to a food delivery recommender system.

Our particular interest is application of LLM to enhance food delivery recommender systems.

It's a work in progress.

The first notebook 00_delivery_hero_eda.ipynb includes analysis of the structure of the dataset.

References

Hangxiong Chen et al. (2020). Neural Collaborative Reasoning

Wenyue Hua, Lei Li et al. (2023). Tutorial on Large Language Models for Recommendation

Jiayu Li et al., (2023). Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations

Lei Li et al. (2023). Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

Peng Liu, Lemei Zhang and Jon Gulla (2023).Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems

Zihuai Zhao et al. (2024). Recommender Systems in the Era of Large Language Models (LLMs)