🚁🚀基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。
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Updated
Feb 4, 2024 - Java
🚁🚀基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。
[Deprecated, Refactored] 基于 Bangumi.tv 260万次用户评分的动画推荐系统(站点部分)
Avec l'émergence des TIC et la démocratisation de la production de contenu sur internet, on assiste à un tsunami informationnel. Ce dernier est très difficile à gérer manuellement, et même les outils informatiques classiques peinent à offrir des résultats concluants. Les journaux et les sites d'information contribuent pleinement à ce contenu, ce…
A TedTalk Recommendation App
[ACM Resys Challenge 2023] 6th place solution of Online Ad Installation Forecasting in ACM Resys Challenge 2023
Nodejs Server Social Media of documents
Real-Life Example for Machine Learning Projects (TuriCreate) part-1.
A Content-Based Filtering - Movies Recommendation System.
Disease-causing variant recommendation system for Rare diseases
Machine Learning introduced to ECommerce Recommandations.
Generate suggested song playlists via "Tinder like process". Leverage Spotify recommendation API and ML
This Repo contains various Machine learning Algorithm including Linear regression, Logistic regression, Neural Networks, SVM, Clustering algorithms, K-means Algorithm, Anomaly detection, and Recommander system etc...
Implementation of Restricted Machine from scratch using PyTorch
Movie Recommendation System (KNN) in Scala/Spark
Movie Recommandation System Based on the item profile
Movie Recommendation with Java.
In this notebook, I will attempt at implementing a few recommendation algorithms (content based, popularity based and collaborative filtering) and try to build an ensemble of these models to come up with our final recommendation system.
Implementation of a paper about a way to build recommander system using topical pagerank algorithm.
Graph-based recommendation engine for academic articles using PageRank algorithms, incorporating content-based and collaborative filtering techniques. Utilized Python, PyTorch, NetworkX, and the igraph library to analyze a dataset from the DBLP Network
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