Essays about: "recommender systems"
Showing result 11 - 15 of 90 essays containing the words recommender systems.
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11. Comparasion of recommender systems for stock inspiration
University essay from Linköpings universitet/Programvara och systemAbstract : Recommender systems are apparent in our lives through multiple different ways, such asrecommending what items to purchase when online shopping, recommending movies towatch and recommending restaurants in your area. This thesis aims to apply the sametechniques of recommender systems on a new area, namely stock recommendations basedon your current portfolio. READ MORE
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12. Evaluating the personalisation potential in local news
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Personalisation of content is a frequently used technique intended to improve user engagement and provide more value to users. Systems designed to provide recommendations to users are called recommender systems and are used in many different industries. READ MORE
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13. A Recommender System for Suggested Sites using Multi-Armed Bandits : Initialising Bandit Contexts by Neural Collaborative Filtering
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The abundance of information available on the internet necessitates means of quickly finding what is relevant for the individual user. To this end, there has been much research concerning recommender systems and lately specifically methods using deep learning for such systems. READ MORE
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14. The Hidden Side Effects of Recommendation Systems : A study from user perspective to explore the ethical aspects of Recommender systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study analyzes the recommendation systems from a user’s perspective and identifies five areas of concern in developing and using a recommendation system. The study’s methods are focus group discussions with Data scientists and Full-stack developers working in the industry. READ MORE
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15. A Semi Supervised Support Vector Machine for a Recommender System : Applied to a real estate dataset
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Recommender systems are widely used in e-commerce websites to improve the buying experience of the customer. In recent years, e-commerce has been quickly expanding and its growth has been accelerated during the COVID-19 pandemic, when customers and retailers were asked to keep their distance and do lockdowns. READ MORE