A movie recommender which recommends the movies belonging to the genre that user has liked the most.
Overview
Owner
Srinivasan K
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
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".
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This library intends to be a reference for recommendation engines in Python
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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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Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
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Code for MB-GMN, SIGIR 2021
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Recommender systems are the systems that are designed to recommend things to the user based on many different factors
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It is a movie recommender web application which is developed using the Python.
Movie Recommendation ๐ฟ System Watch Tutorial for this project Source IMDB Movie 5000 Dataset Inspired from this original repository. Features Simple
An open source movie recommendation WebApp build by movie buffs and mathematicians that uses cosine similarity on the backend.
Movie Pundit Find your next flick by asking the (almost) all-knowing Movie Pundit Jump to Project Source ยป View Demo ยท Report Bug ยท Request Feature Ta
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E-Commerce recommender demo with real-time data and a graph database
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Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.
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Recommender System Papers
Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021