izuna385/BERT-Article-Recommender-with-Faiss
Article Recommender with fine-tuned BERT and faiss.
This helps content creators, publishers, or e-commerce managers provide personalized article recommendations to their users. You input a collection of articles, and it outputs a system that can suggest relevant articles to readers based on their current interests. This is ideal for anyone managing a large body of textual content who wants to improve user engagement.
No commits in the last 6 months.
Use this if you need to build a system that automatically suggests articles or textual content to users, improving their experience and time spent on your platform.
Not ideal if your recommendation needs extend beyond textual content, such as recommending products based on images or videos.
Stars
8
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 14, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/izuna385/BERT-Article-Recommender-with-Faiss"
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...