It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

Building recommender systems in Julia

Natural Language Processing (NLP) library for Crystal

Recommendation based on sequence

Disentagnled Graph Collaborative Filtering, SIGIR2020

An extremely simple Python library to perform TF-IDF document comparison.

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

Text vectorization tool to outperform TFIDF for classification tasks

An NLP tool which classifies and summarizes resumes

Document classification using Latent semantic analysis in python

Implementation of algorithm in keyword extraction,including TextRank,TF-IDF and the combination of both

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

several methods for text classification

📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.

Vietnamese NLP Toolkit for Node

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

Food recommendation tool with Machine learning.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…