jeongwhanchoi/SCONE
"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025
This project helps e-commerce managers, content strategists, and marketing analysts improve their recommendation systems. It takes existing user interaction data and product information to generate more effective and diverse product suggestions. The output is a refined recommendation model that provides better personalization and engagement for end-users.
Use this if you are building or optimizing a recommendation system and struggle with generating diverse and relevant suggestions, especially with sparse user interaction data.
Not ideal if you need a plug-and-play solution without any technical implementation, as this is a research-oriented framework for developers.
Stars
15
Forks
5
Language
Python
License
MIT
Category
Last pushed
Nov 25, 2025
Commits (30d)
0
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