Deep Learning for Computer Vision in Java
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Updated
Apr 3, 2018 - Java
Deep Learning for Computer Vision in Java
Image embedding in Java
A project for the subject "New uses of Computing Science" at Universitat de Barcelona
Product Recommendation Engine
MVP for a recommendation engine based on Non-Negative Matrix Factorisation (NMF) [from scratch] #python #matrix-fatorization #product-ratings
An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.
An image recognition model which is capable of identifying the pattern on a dress image
Deep Learning Computer Vision Web Api in Spring
Analyse customer segmentation, sentiment on product review, and built a product recommender system
An evaluation of SpringBoard's current product offering, along with an assessment of how SpringBoard can better serve existing customers.
Flask app for a collaborative product recommendation engine that uses Louvain clustering.
Various AI Chatbots build with Rasa Framework
商品关联关系挖掘,使用Spring Boot开发框架和Spark MLlib机器学习框架,通过FP-Growth算法,分析用户的购物车商品数据,挖掘商品之间的关联关系。项目对外提供RESTFul接口。
E-Commerce web application based on Django framework.
Recommender system finds its application in many aspects of the online ecosystem including product recommendation, movie recommendation, books, news, video recommendation to name a few.
This is a code sample repository for online retail product recommendations using Collaborative Filtering (Memory-Based, aka History-Based). The source data used the famous Online Retail Data Set from UCI Machine Learning Repository.
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