colloborative-filtering

There are 1 repository under colloborative-filtering topic.

• amitkaps / recommendation

  Recommendation System using ML and DL

  colloborative-filteringdeep-learninghybrid-recommenderprimerrecsysworkshop
  Language:Jupyter Notebook 505

• HKUDS / LLMRec

  [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

  content-based-recommendationdata-augmentation-strategiesgraph-augmentationrecommendation-systemrecommendation-with-side-informationmulti-modal-recommendationcolloborative-filteringgraph-learning
  Language:Python 474

• 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-algorithmcolloborative-filteringcontent-based-filteringexploratory-data-analysismobilenetv2-modelrecommendation-systemvgg16-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-filteringcur-decompositionrecommender-systemsvd-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-filteringcontent-based-recommendationhybrid-recommender-systemmovie-recommendationpythonrecommender-systemsurprise-python
  Language:Jupyter Notebook 1

• nitinjosephrepo / Items-Frequently-Bought-Together

  To answer which items are frequently bought together we will be using Apriori & FPgrowth Algorithm

  apriori-algorithmecommerce-applicationfpgrowthmarketbasketanalysiscolloborative-filtering
  Language:Jupyter Notebook 1

• saibattula93 / Book-Recommendation-System

  A concise guide exploring techniques for building accurate and engaging book recommendation systems, catering to diverse reader preferences.

  books-recommendationcolloborative-filteringdata-collectiondata-explorationrecommendation-system
  Language:Jupyter Notebook 1

• behzadshomali / Information-retrieval-homeworks

  This repository contains our teaemwork in the context of the "Information Retrieval (IR)" course (held at FUM) projects.

  colloborative-filteringdata-crawlingelasticsearchinformation-retrievalinverted-indexmultithreading
  Language:Python

• SureshAthanti / Movie_Recommendation_Systems

  Recommendation_Systems

  pythondata-sciencecolloborative-filteringsurprise-librarycontent-based-recommendation
  Language:Jupyter Notebook