Book Recommendation System- A Web app made using flask framework to recommend your favorite book using content based filtering and cosine similarity metrices.
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Updated
Jan 21, 2023 - HTML
Book Recommendation System- A Web app made using flask framework to recommend your favorite book using content based filtering and cosine similarity metrices.
Spotify Recommendation System and Music Analytics
This is a AI Course Recommendation chatbot based on Coursera Data using content/rule based algorithms.
Recommendation on data from the IBM Watson Studio platform
Presentation on how to build a recommender system @ PyData, Lisbon, Wed 13 Dec 2017
Built article recommendation engines for IBM Watson's platform users. Used collaborative filtering, content-based, ranking and knowledge-based techniques.
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.
UPNEXT: Content-based and Context-Aware Movie Recommender System
(Udacity Data Scientist Nanodegree Project) Recommendation functions for collaborative filtering and content-based recommendations
Recommends Anime using Content based filtering (using TFIDF vectorization and sigmoid kernel) and collaborative filtering (using KNN)
Implementation for two different types of recommendation systems (Content-based and collaborative filtering)
Popularity based Recommendation System, Content Based Recommendation System, Cosine Similarity
The sample code repository leverages Azure Text Analytics to extract key phrases from the product description as additional product features. And perform text relationship analysis with TF-IDF vectorization and Cosine Similarity for product recommendation.
Item-based Collaborative Recommendation System using Embeddings, Yelp dataset. Recommend user establishments based on queries.
This repository contains a recommender system based on K-Mean Clustering combine with Content Based Filtering on Junior High School in Bandung, Indonesia dataset.
analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations on new articles they will like.
TaskHero is an innovative Google Workspace Add-on designed to enhance productivity and creativity within Google Docs and Google Sheets.
This is an app for collaborative and hybrid filtering using multiple csv data a model is trained and a flask is used for the web representation of model
Link Analysis - Page Rank algorithms & Content-based Recommender System.
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