Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
- ctr
- click-through-rate
- deep-learning
- factorization-machines
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Translated:helicopter::rocket: A real-time product recommendation system built on Flink. Flink calculates product popularity and puts it into the Redis cache; it analyzes log information and puts user profile tags and real-time records into HBase. After a user initiates a recommendation request, the popularity ranking is re-ranked according to the user profile, and the two recommendation modules, collaborative filtering and tags, are combined to add associated products to each product in the newly generated ranking. Finally, a new user list is returned.
- flink
- recommander-system
- recommand
- flink-kafka
Fast Python Collaborative Filtering for Implicit Feedback Datasets
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
- deepctr
- ctr-models
- deep-learning
- deepctr-pytorch
All-in-one platform for search, recommendations, RAG, and analytics offered via API
- actix-web
- diesel
- postgresql
- qdrant
Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.
Neo4j based Recommendation Engine Framework for PHP