Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system

Last update: Jan 20, 2022

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Recommender-Systems

Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system

So the dataset used in this project is from kaggle. The link of the dataset is https://www.kaggle.com/tmdb/tmdb-movie-metadata

This is a content based recommendation system.

The algorithm used in the project is K nearest neighbour but the cosine distance is used istead of Euclidean Distance.

Preprocessing includes merging the datasets, modifying the columns of data, data cleaning, and vectorization of the words.

Owner

Yash Kumar

Data Science and Machine Learning Enthusiastic

GitHub Repository

Intel® Neural Compressor is an open-source Python library running on Intel CPUs and GPUs

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Details about the wide minima density hypothesis and metrics to compute width of a minima

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Classification models 1D Zoo - Keras and TF.Keras

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Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

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Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"

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Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

Few-Shot-Intent-Detection Few-Shot-Intent-Detection is a repository designed for few-shot intent detection with/without Out-of-Scope (OOS) intents. It

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BLEND: A Fast, Memory-Efficient, and Accurate Mechanism to Find Fuzzy Seed Matches

BLEND is a mechanism that can efficiently find fuzzy seed matches between sequences to significantly improve the performance and accuracy while reducing the memory space usage of two important applic

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Custom implementation of Corrleation Module

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Spherical Confidence Learning for Face Recognition, accepted to CVPR2021.

Sphere Confidence Face (SCF) This repository contains the PyTorch implementation of Sphere Confidence Face (SCF) proposed in the CVPR2021 paper: Shen

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BBScan py3 - BBScan py3 With Python

BBScan_py3 This repository is forked from lijiejie/BBScan 1.5. I migrated the fo

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Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data

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A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.

Description A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization co

9 Nov 10, 2022

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

H2O H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Fl

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This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''

The Pytorch Implementation of Category-consistent deep network learning for accurate vehicle logo recognition This is the offical website for paper ''

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Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system

Related tags

Overview

Recommender-Systems

Owner

Yash Kumar

Intel® Neural Compressor is an open-source Python library running on Intel CPUs and GPUs

Details about the wide minima density hypothesis and metrics to compute width of a minima

DeepLearning Anomalies Detection with Bluetooth Sensor Data

Classification models 1D Zoo - Keras and TF.Keras

Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"

Modeling CNN layers activity with Gaussian mixture model

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

BLEND: A Fast, Memory-Efficient, and Accurate Mechanism to Find Fuzzy Seed Matches

Custom implementation of Corrleation Module

Spherical Confidence Learning for Face Recognition, accepted to CVPR2021.

BBScan py3 - BBScan py3 With Python

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.

This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''

Deep Learning Slide Captcha

[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

buildseg is a building extraction plugin of QGIS based on PaddlePaddle.

The 2nd Version Of Slothybot