Essays about: "Implicit Data"
Showing result 6 - 10 of 147 essays containing the words Implicit Data.
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6. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE
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7. Exploring the Use of Nordicness in Sustainability Messages: The Case of Nordic Fashion Brands
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : Being on everyone’s lips for years, the concept of sustainability has become an almost unavoidable phenomenon within contemporary business discourses and practice. In particular, has the Nordic fashion industry increasingly been infused by sustainability with a continuous growing public interest in buying sustainable products from companies that have embarked on a sustainable path. READ MORE
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8. Price policy estimation for Demand Response of heat-pump-based loads
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The electricity grids have become a key player in the society. An increased usage of electricity is both a result from the more electrified society, but also as a main solver in reaching the climate goals by reducing emissions. READ MORE
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9. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items
University essay from Stockholms universitet/Statistiska institutionenAbstract : This thesis addresses the new item problem in recommender systems, which pertains to the challenges of providing personalized recommendations for items which have limited user interaction history. The study proposes and evaluates a method for generating personalized recommendations for movies, shows, and series on one of Sweden’s largest streaming platforms. READ MORE
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10. Can Hatescan Detect Antisemitic Hate Speech
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : This thesis focuses on how well Hatescan, a hate speech detector built on the same Natural Language Processing and AI algorithms used in most online hate speech detectors, can detect different categories of antisemitism as well as whether or not it is worse at detecting implicit antisemitism than explicit antisemitism. The ability of hate speech detectors to detect antisemitic hate speech is a pressing issue. READ MORE