akirasosa/nrms-bert
Neural News Recommendation with Multi-Head Self-Attention using BERT
This helps news organizations and media platforms improve their article recommendation systems. It takes a collection of news articles and user reading histories to generate personalized news recommendations for individual users. Content strategists, data scientists, and product managers at news publishers would use this to enhance user engagement.
No commits in the last 6 months.
Use this if you need a baseline recommendation engine to suggest relevant news articles to your users based on their past reading behavior.
Not ideal if you need a recommendation system that incorporates complex, handcrafted features beyond news content and user behavior for highly nuanced suggestions.
Stars
33
Forks
10
Language
Python
License
—
Category
Last pushed
Mar 06, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/akirasosa/nrms-bert"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huangy22/NewsRecommender
A news recommendation system tailored for user communities
archd3sai/News-Articles-Recommendation
Objective of the project is to build a hybrid-filtering personalized news articles...
jonaylor89/WineInAMillion
Wine Recommender created with sentence-BERT and NearestNeighbor on AWS SageMaker
AmoliR/nlp-for-book-recommendation
Content based recommender system for books using NLP.
eugeneyan/recsys-nlp-graph
🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular...