Recommender systems are the systems that are designed to recommend things to the user based on many different factors

Related tags

Recommender SystemsMachine-Learning-Recommendation-System
Overview

Machine-Learning-Recommendation-System

Recommender systems are the systems that are designed to recommend things to the user based on many different factors. The recommender system deals with a large volume of information present by filtering the most important information based on the data provided by a user and other factors that take care of the user’s preference and interest.

Why the Recommendation system?

  1. Benefits users in finding items of their interest.
  2. Help item providers in delivering their items to the right user.
  3. Identity products that are most relevant to users.
  4. Personalized content.
  5. Help websites to improve user engagement.

What can be Recommended?

There are many different things that can be recommended by the system like movies, books, news, articles, jobs, advertisements, etc. Netflix uses a recommender system to recommend movies & web-series to its users. Similarly, YouTube recommends different videos. There are many examples of recommender systems that are widely used today.

Owner
Happy N. Monday
Wavelet Transform | Machine Learning | Computer Vision | Deep Learning | Image Processing | AI
Happy N. Monday
GitHub Repository
A framework for large scale recommendation algorithms.

A framework for large scale recommendation algorithms.

Alibaba Group - PAI 880 Jan 03, 2023
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汝聪(Ricardo) 5 Oct 02, 2022
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Yu 1.4k Dec 27, 2022
It is a movie recommender web application which is developed using the Python.

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Kushal Bhavsar 10 Dec 26, 2022
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Tianwen CHEN 62 Dec 03, 2022
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Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation

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ciecus 38 Dec 05, 2022
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Yicong Li 13 Nov 30, 2022
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FIB LAB, Tsinghua University 37 Dec 18, 2022
A movie recommender which recommends the movies belonging to the genre that user has liked the most.

Content-Based-Movie-Recommender-System This model relies on the similarity of the items being recommended. (I have used Pandas and Numpy. However othe

Srinivasan K 0 Mar 31, 2022
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

RecSim NG, a probabilistic platform for multi-agent recommender systems simulation. RecSimNG is a scalable, modular, differentiable simulator implemented in Edward2 and TensorFlow. It offers: a power

Google Research 110 Dec 16, 2022
Respiratory Health Recommendation System

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Abhishek Gawabde 1 Jan 29, 2022
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

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SeqRec 29 Dec 09, 2022
Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

DHCN Codes for AAAI 2021 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'. Please note that the default link

Xin Xia 124 Dec 14, 2022
A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation".

This repo contains a tensorflow implementation of RecoGCN and the experiment dataset Running the RecoGCN model python train.py Example training outp

xfl15 30 Nov 25, 2022
Fast Python Collaborative Filtering for Implicit Feedback Datasets

Implicit Fast Python Collaborative Filtering for Implicit Datasets. This project provides fast Python implementations of several different popular rec

Ben Frederickson 3k Dec 31, 2022
Knowledge-aware Coupled Graph Neural Network for Social Recommendation

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