Abstract: The paper introduces a Book Recommendation System that leverages Matrix Factorization with Singular Value Decomposition (SVD) to address the challenge of an overwhelming number of books in ...

Abstract: Recommender systems are essential in digital services for helping users find relevant items. One of the main challenges faced by these systems is the problem of sparsity, where limited ...

The Quanser SDK Examples repository provides C and Python examples utilizing the Quanser HIL API (Hardware Interfacing Layer) and Quanser Stream API (for communications). The Quanser SDK Examples are ...

High-performance Python library for text factorization using compressed suffix trees. The library provides efficient algorithms for finding non-overlapping factors in text data, with both in-memory ...