对四种句子/文本相似度计算方法进行实验与比较

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

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

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

A utility library for comparing strings via Cosine Similarity

Question Answering Chatbot with DistilRoBERTa Sentence Embeddings, Dialogflow and Ngrok

Movie Recommendation System using Cosine Similarity

Word Grouping by List Category

Music recommendation system that leverages the power of machine learning to provide personalized music suggestions based on user preferences. Using a hybrid approach combining K-Means Clustering and Cosine Similarity.

DataScience-Statistics,Machine Learning,AppliedAI

Edge-based vector database with built-in search, powered by Cloudflare Durable Objects.

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.

Implement Information Retrieval Models in JAVA

Built a Movie Recommendation System using cosine similarity.

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

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.

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