CRIPAC-DIG/LATTICE
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
This project helps e-commerce platforms improve product recommendations by leveraging customer reviews, product descriptions, and images. It takes raw Amazon product data—including review text, product metadata, and image features—and outputs refined recommendations. Online retailers and merchandisers can use this to offer more relevant product suggestions to their customers.
No commits in the last 6 months.
Use this if you manage an e-commerce platform and want to enhance your product recommendation engine using both textual and visual information from customer interactions and product details.
Not ideal if you are looking for a recommendation system for non-e-commerce applications or if you don't have access to detailed multimedia product data.
Stars
57
Forks
15
Language
Python
License
MIT
Category
Last pushed
Apr 24, 2024
Commits (30d)
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