A utility library for comparing strings via Cosine Similarity

Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript

FLIX-HUB is a movie recommendation system utilizing the Netflix dataset. It features comprehensive data preprocessing and analysis, generating personalized movie and TV show suggestions based on TF-IDF vectorization and cosine similarity. The project includes interactive visualizations for insights into content trends and distributions.

A program that get recommendations according to the target user and movies. -made in 2023

Word Grouping by List Category

Measure performance in calculating cosine similarity: C, C++, Go, Python, Perl and Oberon2.

Implement Information Retrieval Models in JAVA

We have used the Countvectorizer to convert text into a vector, Cosine Similarity for the recommendation and for review sentiment analysis we have used the Logistic Regression algorithm.

Movie Recommendation System using Cosine Similarity

Question Answering Chatbot with DistilRoBERTa Sentence Embeddings, Dialogflow and Ngrok

对四种句子/文本相似度计算方法进行实验与比较

Built a Movie Recommendation System using cosine similarity.

Posts/Feeds recommendation engine based on content based and collaborative filtering methods

Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric

DataScience-Statistics,Machine Learning,AppliedAI