What are some interesting research papers and open-source projects in the field of recommendation systems?

Nov 20, 2021 ... Abstract. Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field ... Content-based Recommendation Systems (CbRS) is a research area in which Machine Learning (ML) strategies can be applied with success. May 18, 2023 ... A portfolio recommendation system that utilizes machine learning techniques to generate profitable {portfolios for users is proposed. The system ... Create machine learning recommendation systems with deep learning, collaborative filtering, and Python. By leveraging the unsupervised Doc2Vec model trained on document-structured intrinsic MOF characteristics, the model embeds MOFs into a high-dimensional ... Jul 11, 2024 ... Today's recommender systems from leading companies like Amazon, Google, Rakuten, TikTok, and others are highly sophisticated models powered by ... Mar 28, 2023 ... Machine learning algorithms can identify patterns and relationships in data that are not immediately apparent to humans. This enables ... Recommended Citation. Bommireddy, Durga Rajesh, "Recommendation System using machine learning for fertilizer prediction" (2024). Electronic Theses, Projects, ... As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside ... A step-by-step guide on how to build a state-of-the-art recommender system in an industrial setting.