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View All on GitHubAI Summary: The task is to convert the Online Retail dataset (xlsx format) into the format required by the provided multi-behavior recommendation system. This involves understanding the existing data format described in the project README, and then transforming the Online Retail data to match it, including creating the necessary `count.txt`, behavior-specific interaction files (e.g., `pv_dict.txt`, `cart_dict.txt`, `buy_dict.txt`), and validation/test sets.
Complexity:
4/5
help wanted question
[ACM TOIS] Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
Python
#directed-acyclic-graph#e-commerce#graph-neural-networks#recommender-system