How can novelty be encouraged in recommendations?

May 18, 2023 ... A portfolio recommendation system that utilizes machine learning techniques to generate profitable {portfolios for users is proposed. The system ... Jan 28, 2025 ... A recommendation engine is a system that analyzes user behavior, preferences, and historical interactions to suggest relevant content, products, ... Precision farming practices with data-driven analysis and machine learning-based crop and fertiliser recommendation system. G. Vijender Reddy1*, M. Venkata ... We evaluate our query by humming system using the standard MIREX QBSH dataset. We also propose a similar artist recommendation system which recommends similar ... There are great interests as well as many challenges in applying reinforcement learning (RL) to recommendation systems. In this setting, an online user is ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR). Apr 27, 2023 ... A recommendation system is a type of machine learning system that provides personalized recommendations to users based on their past behaviors, preferences, ... Oct 13, 2022 ... Chemical compositions registered in the inorganic crystal structure database (ICSD) were supplied to machine learning for binary classification. Aug 28, 2020 ... IMF Working Papers. Intelligent Export Diversification: An Export Recommendation System with Machine Learning. By Natasha X Che. August ... A recommender system aims to suggest relevant content or products to users that might be liked or purchased by them.