What are some popular open-source libraries for building recommendation systems?

Mar 28, 2025 ... Recommendation systems use data-driven methodologies to provide users with tailored suggestions. These systems utilize user data and ... Precision farming practices with data-driven analysis and machine learning-based crop and fertiliser recommendation system. G. Vijender Reddy1*, M. Venkata ... Nov 18, 2020 ... The paper presents the development and the comparison of multiple recommendation systems, capable of making item suggestions, based on user, ... 3 days ago ... Gained familiarity with various machine learning algorithms used in recommendation systems, such as matrix factorization and deep learning ... Oct 9, 2020 ... This paper study about various techniques used in designing of recommendation system with machine learning algorithm. Aug 9, 2023 ... We design a recommender system that suggests suitable crops for a specific land area for cultivation in the next season. Jan 28, 2025 ... A recommendation engine is a system that analyzes user behavior, preferences, and historical interactions to suggest relevant content, products, ... Apr 10, 2024 ... Hello everyone, In the course “Machine Learning Specialization” Andrew mentions that we can build deep-learning recommendation systems, ... Feb 1, 2021 ... Recommendation systems, or recommender systems, are systems that make suggestions related to search history, customer profiles and inventory ... Modern recommendation systems such as those used on large social media sites, make extensive use of AI, machine learning and related techniques to learn the ...