GitHub topics: product-recommendation
Asisha351/Ecopr
This IPD project is a Spring Boot Java application managing product and category data within a SQLite database using Spring Data JPA. It initializes data from CSV files and offers potential for future expansion into an eco-friendly product recommendation system with a dedicated web platform.
Language: Java - Size: 76.2 KB - Last synced at: 8 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

soumiau158/ProdSense
ProdSense: Multi-agent product recommendation system powered by CrewAI. Scrapes product details from any product website, discovers alternatives, analyzes community sentiments, and curates YouTube reviews. Outputs tailored Markdown recommendations. Experimental, API-driven, and open for tinkering.
Language: Python - Size: 17.6 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 2 - Forks: 0

nasserhaji/product-recommendation
A comprehensive and intelligent product recommendation system for WooCommerce that helps customers find the perfect products based on their preferences and characteristics.
Language: PHP - Size: 216 KB - Last synced at: 13 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

fiyandamamuri/Content-Based-Filtering-for-Products-Recommendation
Sistem Rekomendasi Produk menggunakan Content-Based Filtering dari dataset BigBasket. Menggunakan TF-IDF & Cosine Similarity untuk menyarankan produk serupa.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

saadamir1/mericloset
MeriCloset: Smart fashion discovery across multiple brands
Language: TypeScript - Size: 5.11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Sanjith-3/ProdSense
ProdSense: Multi-agent product recommendation system powered by CrewAI. Scrapes product details from any product website, discovers alternatives, analyzes community sentiments, and curates YouTube reviews. Outputs tailored Markdown recommendations. Experimental, API-driven, and open for tinkering.
Language: Python - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

JaanuNan/ProductRecommendation-using-RL-
A Streamlit application demonstrating Reinforcement Learning (RL) for intelligent product recommendations in online advertising. Explore different RL algorithms and their impact on personalization.
Language: Python - Size: 5.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AzizbekAvazov/eda-uci-retail-dataset
Exploratory Data Analysis (EDA) on UCI Online Retail Dataset. Customer insights, product trends, sales patterns and product recommendations.
Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

selimsevim/email-product-recommendation
A hybrid recommendation system combining cold-start collaborative filtering with online updates and persistent queues. It adapts to new browsing data in real time, filtering out purchased products to ensure fresh, personalized recommendations.
Language: Python - Size: 27.3 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

SUGAVANESHKV/Django-E-Commerce-Web-Application
This GitHub repository contains the source code for a Django-based e-commerce web application. It provides a platform for users to browse and purchase various products online.
Language: Python - Size: 14.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

cintiaching/rl-recommender
A product recommender that use reinforcement learning.
Size: 3.91 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

easonlai/online_retail_product_recommendation_samples
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.
Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

huseyincorakli/MerchandiseAI
Product Recommendation AI (LangChain)
Language: TypeScript - Size: 1.69 MB - Last synced at: 29 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

abouslimi/spark-ml-product-recommendation
Real-time product recommendation system built using Apache Spark, Kafka, and Python.
Language: Python - Size: 419 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

aakashjhawar/dress-pattern-recognition-using-CNN
An image recognition model which is capable of identifying the pattern on a dress image
Language: Jupyter Notebook - Size: 5.3 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 19 - Forks: 3

chen0040/java-image-embedding
Image embedding in Java
Language: Java - Size: 47.7 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 4

easonlai/content_based_product_recommendation_samples
The sample code repository leverages Azure Text Analytics to extract key phrases from the product description as additional product features. And perform text relationship analysis with TF-IDF vectorization and Cosine Similarity for product recommendation.
Language: HTML - Size: 118 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

aristotle-malichetty/customer-segmentation-product-recommendation-engine
Customer Segmentation and Product Recommendation for ACME Innovations - School Project
Language: R - Size: 15.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Likitha7052005/Ecommerce-Product-Recommendation-system
Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their interaction history, similar users, and also the popularity of products.
Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

alisufyan143/Product-Recommendation-System
This repository contains a Product Recommendation System built with Python, utilizing TF-IDF vectorization and cosine similarity to provide accurate recommendations based on product descriptions. It features an interactive Streamlit app for user-friendly input and real-time recommendations.
Language: Python - Size: 316 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

atharvapathak/Product_Recommendation_Engine
Using algorithms such as collaborative filtering, content-based filtering, or hybrid methods, this recommendation engine offers personalized suggestions to users, enhancing their shopping or browsing experience.
Language: Jupyter Notebook - Size: 84 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

gauravreddy08/GlancyAI
GlancyAI is an LLM (like ChatGPT) that you can talk with, and it recommends products and helps you make your educated guess to buy a product.
Language: Python - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

easonlai/product_recommendations_with_gpt
I have improved the demo by using Azure OpenAI’s Embedding model (text-embedding-ada-002), which has a powerful word embedding capability. This model can also vectorize product key phrases and recommend products based on cosine similarity, but with better results. You can find the updated repo here.
Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 6

scottpitcher/Customer_RecommendationSystem
Using the MovieLens dataset, will create a customer recommendation system from scratch using PyTorch.
Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Mourya03/Product-Recommendation-System
Product Recommendation System using Machine Learning
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 5

Vaibhav67979/Ecommerce-product-recommendation-system
Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their interaction history, similar users, and also the popularity of products.
Language: Jupyter Notebook - Size: 148 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 38 - Forks: 13

breathingcyborg/practical-aspects-of-recommendar-systems
Language: Jupyter Notebook - Size: 661 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

TwoPointerr/ProductRecommendation
E-Commerce web application based on Django framework
Language: HTML - Size: 17.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

Ashish0o7/product_recommendation
Use my Docker image for demo purpose
Language: Jupyter Notebook - Size: 4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

easonlai/market_basket_analysis_retail_sample
This is a demo repo demonstrating how to perform Market Basket Analysis (MBA) with a Retail (Grocery Store) sample.
Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Amitha353/Machine-Learning-Foundation-Case-Study
Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 19 - Forks: 9

VishalS-HK/product-recommendation-system-BERT
This project is an advanced implementation of a product recommendation system that leverages the power of Sentence Transformers.
Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Muhammad-Shoaib37/Clothing-Chain-Sales-and-Rating-Analysis
Clothing Chain Sales Analysis to analyze the sales by various factors, customer ratings and product recommendation analysis
Size: 0 Bytes - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Blaieet/Product-Recomender-With-Chatbot
A project for the subject "New uses of Computing Science" at Universitat de Barcelona
Language: Jupyter Notebook - Size: 42 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 0

jingpeicomp/product-relation-mining
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。
Language: Java - Size: 68.4 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 24 - Forks: 16

akshitvjain/item-based-recommender
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.
Language: Python - Size: 14.6 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3

Mohsinrazaa/Restaurant-Recommendation-Systemtem
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.
Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

bmwillett/topological-recommendations
Robust product recommendations using topological data analysis. 4-week project completed during Insight Fellows Program, AI Silicon Valley 2020 B Cohort
Language: Python - Size: 689 KB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Elysian01/Rasa-bots
Various AI Chatbots build with Rasa Framework
Language: Jupyter Notebook - Size: 331 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 2

steffinazareth/SpringBoard-ProductRecommendation
An evaluation of SpringBoard's current product offering, along with an assessment of how SpringBoard can better serve existing customers.
Size: 2.11 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Lubdhak/matrix_factorisation_python_sqlite_recommender
MVP for a recommendation engine based on Non-Negative Matrix Factorisation (NMF) [from scratch] #python #matrix-fatorization #product-ratings
Language: Python - Size: 423 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

cschen1205/spring-deep-vision-api
Deep Learning Computer Vision Web Api in Spring
Language: Java - Size: 82.8 MB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Reested/Drober
Product Recommendation Engine
Language: Python - Size: 440 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

cschen1205/java-deep-learning-computer-vision
Deep Learning for Computer Vision in Java
Language: Java - Size: 47.9 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
