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A Simple Post-Processing Step to Improve the Fairness of Collaborative Recommender Systems
Author(s): ___ Originally published on Towards AI. Overview In this article, I will describe an algorithm that can be applied as a post-processing step to alleviate the popularity bias inherent in collaborative filtering-based recommender systems. The content of this article is based …
How To Use Counterfactual Evaluation To Estimate Online AB Test Results
Author(s): ___ Originally published on Towards AI. Definition In this article, I will explain a principled approach to estimate the expected performance of a model in an online AB test using only offline data. This is very useful to help decide which …
Building an End to End Recommendation Engine using Matrix Factorization with Cloud Deployment using Amazon SageMaker
Author(s): Anurag Bisht Originally published on Towards AI. Cloud Computing, Machine Learning Image Courtesy: Google Cloud How many times have you visited any shopping website and purchased anything, have you noticed that the website personalizes as per your purchase history? You all …
How To Use Vector Search To Quickly Build A Content-Based Filtering Recommender System
Author(s): ___ Originally published on Towards AI. Qualitative Evaluation Visualizing some results (all movie posters are from imdb) In this article, I will share how a vector search engine like weaviate can be used to quickly build a content-based filtering recommender system. …
A Complete End-to-End Machine Learning Based Recommendation Project
Author(s): Gowtham S R Originally published on Towards AI. A machine learning recommendation project based on collaborative filtering and popularity-based filtering image from Unsplash uploaded by Toa Heftiba What is a recommendation system? Whenever we visit a shopping mall to buy a …
Recommendation System Tutorial with Python using Collaborative Filtering
Author(s): Saniya Parveez, Roberto Iriondo Building a recommendation system using Python and collaborative filtering for a Netflix use case. Introduction A recommendation system generates a compiled list of items in which a user might be interested, in the reciprocity of their current …
Why AI is Not a Magic Wand
Author(s): Dev Shah Originally published on Towards AI. A recommender system use case POC I worked on an ML project recently where the ask was to build a recommender system (Remember, it’s a proof of concept). A system that recommends users’ materials …
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