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Solving the Cold-Start Problem in Recommender Systems Personalization
, M.Sc. Thesis Sharif University of Technology ; Rabie, Hamid Reza (Supervisor)
Abstract
User cold-start is a common problem among real-world applications in the sequential recommendation field since determining user preference based on a few interactions is difficult. The problem would end up limiting the performance recommender systems. To address the cold-start problem, some previous works used meta-learning along with user’s and item’s side information. Meta-learning algorithms made the model able to share knowledge among all tasks. Although they had promising results, they had some fundamental issues with modeling the dynamics of user preferences and considering all kinds of users’ preferences, especially for minor users. The proposed method includes a model incorporating...
Investigation of the Effect of Various Electrolyte Additives to Increase the Overpotential of the Hydrogen and Oxygen Evolution Reactions in Lead-Acid Batteries
, M.Sc. Thesis Sharif University of Technology ; Taherinia, Davood (Supervisor)
Abstract
Lead-acid batteries have been used for over 150 years as a reliable means of storing electrical energy. These batteries have a variety of applications due to their high safety, reliable performance, and relatively easy manufacturing process, including in car starters, car lighting and combustion, electric vehicles (especially electric bicycles), and the resulting electrical energy storage. From renewable sources or pulsed power supplies in hybrid electric vehicles. Despite increasing advances in the performance and design of these batteries, there are still problems in this area. One of the most important of these is the electrolysis of water as a side reaction, which leads to the production...