Playing around with texts from Project Gutenberg.

Rekomendasi Khotbah Jumat menggunakan Vector Space Model diimplementasikan menggunakan python microframework Flask.

Information Retrieval - Search Engine implementation and Naive Bayes Classifier implementation in Python using Flask

A simple library for calculating the distance between two documents through the cosine similarity algorithm

A simple search engine based on an Inverted Index with results sorted by TF-IDF and Cosine-Similarity

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings.

A Django-based movie recommendation system built with Item-Item Collaborative Filtering and Content-Based Filtering with UI inspiration from Amazon Prime Video ❤️

Retrieve your favourite anime through filtering and sorting or search for recommendations.

Using content-based approach to construct a suggestion for films. Films based on user feedback are recommended. By the machine learning model, all connected and equivalent films are suggested for the consumer.

A natural language processing and machine learning project that predicts spam messages and explains how it does so

Application of image processing algorithms using python and matlab

Search Engine for Text Document Retrieval

In this project I used NLP to analyze a dataset containing each episode from the hit show "The Office" with my findings I used TF-IDF and the Cosine Similarity to build a recommendation engine based on whether or not 'Micheal' and 'Dwight' appeared in the episode.

Creating a recommendation system using item - based collaborative filtering

Assignment-10-Recommendation-System-Data-Mining-books. Recommend a best book based on the ratings: Sort by User IDs, number of unique users in the dataset, number of unique books in the dataset, converting long data into wide data using pivot table, replacing the index values by unique user Ids, Impute those NaNs with 0 values, Calculating Cosin…

This is a content-based movie recommendation engine. It is built using the Flask framework in the backend.

Recommendation Website

A robust package with simple and intuitive usage for normalizing strings against a set of known standards.