colloborative-filtering

There are 1 repository under colloborative-filtering topic.

amitkaps / recommendation
Recommendation System using ML and DL
colloborative-filtering deep-learning hybrid-recommender primer recsys workshop
Language:Jupyter Notebook 417
HKUDS / LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
content-based-recommendation data-augmentation-strategies graph-augmentation recommendation-system recommendation-with-side-information multi-modal-recommendation colloborative-filtering graph-learning
Language:Python 242
poojasrini / Customer-fashion-product-recommender-system
Developed recommendation pipelines leveraging content-based and collaborative filtering to present top n customer recommendations from user items and customer purchase histories. Alternatively, image similarity recommendations were generated using k means clustering and Neural Networks (NNs) from product images.
clustering-algorithm colloborative-filtering content-based-filtering exploratory-data-analysis mobilenetv2-model recommendation-system vgg16-model
Language:Jupyter Notebook 2
crakesh27 / Recommender-System
Implementation of various recommendation algorithms such as Collaborative filtering, SVD and CUR-decomposition to predict user movie ratings
colloborative-filtering cur-decomposition recommender-system svd-recommendation-algorithm
Language:Python 1
danielchristopher513 / Hybrid_Movie_Recommendation
The Hybrid Movie Recommender is a system that recommends movies using a combination of collaborative and content-based filtering techniques. The system is designed to address the cold start problem(new users) by using a popularity based approach. The dataset used for the system is obtained from Kaggle.
colloborative-filtering content-based-recommendation hybrid-recommender-system movie-recommendation python recommender-system surprise-python
Language:Jupyter Notebook 0
saibattula93 / Book-Recommendation-System
A concise guide exploring techniques for building accurate and engaging book recommendation systems, catering to diverse reader preferences.
books-recommendation colloborative-filtering data-collection data-exploration recommendation-system
Language:Jupyter Notebook 0
behzadshomali / Information-retrieval-homeworks
This repository contains our teaemwork in the context of the "Information Retrieval (IR)" course (held at FUM) projects.
data-crawling information-retrieval multithreading inverted-index colloborative-filtering elasticsearch
Language:Python
nitinjosephrepo / Items-Frequently-Bought-Together
To answer which items are frequently bought together we will be using Apriori & FPgrowth Algorithm
apriori-algorithm colloborative-filtering ecommerce-application fpgrowth marketbasketanalysis
Language:Jupyter Notebook
SureshAthanti / Movie_Recommendation_Systems
Recommendation_Systems
colloborative-filtering content-based-recommendation data-science python surprise-library
Language:Jupyter Notebook

colloborative-filtering

amitkaps / recommendation

HKUDS / LLMRec

poojasrini / Customer-fashion-product-recommender-system

crakesh27 / Recommender-System

danielchristopher513 / Hybrid_Movie_Recommendation

saibattula93 / Book-Recommendation-System

behzadshomali / Information-retrieval-homeworks

nitinjosephrepo / Items-Frequently-Bought-Together

SureshAthanti / Movie_Recommendation_Systems