LibRec: A Leading Java Library for Recommender Systems, see
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Updated
Jul 13, 2023 - Java
LibRec: A Leading Java Library for Recommender Systems, see
个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
Personalized real-time movie recommendation system
Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF
Recommender system based on Item Collaborative Filtering and MapReduce
The book recommendation system is a web application developed using the Java Spring Boot framework and under it's the principles of software clean architecture. The system recommendations based on user-based collaborative filtering
Recommender System (Java, Apache Spark)
This project is an Android mobile application, written in Java programming language and implements a Recommender System using the k-Nearest Neighbors Algorithm. In this way the algorithm predicts the possible ratings of the users according to scores that have already been submitted to the system.
Book Recommendation Service
Java framework for Preference Learning
Spring Boot Starter for using Mahout as a recommendation engine for item-based collaborative filtering.
Online Retail Recommender JAVA Application using implicit feedback with collaborating filter algorithm
Bài tập lớn trí tuệ nhân tạo
Reranks and expands Solr query returns using clickstream data
Time Sensitive Item Based Recommendation System
GUI to help automate functions of the LibRec Java recommendation systems library
Recommender System based on Collaborative Filtering using Java
Predict book ratings with item-based collaborative filtering on the Book-Crossing dataset
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