Investigating approaches for computing Edit Distance of 2 strings

One of recommender system i built was using streamlit and google colab to build that model, you all can be recommended with this website. Technology i use is cosine-similarity from sklearn's library. This will help you to find movies that are similar to what movie you're looking for

Python implementation of binary similarity and distance measures.

A Java application which finds similar strings based on common substrings

batchwise Kabsch test with Jimmy Charnley's calculate_rmsd (https://github.com/charnley/rmsd) on multiple CPUs

Large scale sparse similarity calculation with tools for parallelisation and incorporation of hierarchical domain knowledge

A simple npm utility module for obtaining similar commands in Discord Bots projects.

Locality-sensitive hashing algorithm to identify similar messages. Designed for a range of security and digital forensic applications.

ASSA, central to the Agape approach, deeply analyzes datasets, delivering metrics, rankings, and evaluations.

Analysis of the discography of modern music bands, applying multivariate analysis, machine learning and natural language processing techniques.

Activity from UiPath that can be able to look for similarity between terms in a Data Table.

Vectorization of Text ---> finding Text_similarity ---> Recommending top 4 similar_Articles

Similarity based TOPSIS with linguistic-quantifier based aggregation using OWA

Document similarity application with CPP

This shows the basic foundation between different recommendation theories and how to apply them to any given task

Comparaison des graphes de cycles des molécules par calcul de la similarité par MCIS et par distance de Levenshtein

hacked code to bicluster molecules using rdkit and scikitlearn