Essays about: "Recommender Systems Evaluation"
Showing result 6 - 10 of 29 essays containing the words Recommender Systems Evaluation.
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6. Prediction Accuracy And Autonomy : Assessing how recommender systems objectives can align with user autonomy
University essay from Institutionen för tillämpad informationsteknologiAbstract : Entertainment recommender systems have been criticised by journalists and tech-industry insiders for undermining individuals’ autonomy. These systems might exercise unwanted control over peoples’ lives, not through coercion but rather through distraction. READ MORE
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7. Recommender System for Gym Customers
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Recommender systems provide new opportunities for retrieving personalized information on the Internet. Due to the availability of big data, the fitness industries are now focusing on building an efficient recommender system for their end-users. This thesis investigates the possibilities of building an efficient recommender system for gym users. READ MORE
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8. New Methodologies for Fashion Recommender Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traditional Recommender Systems rely on finding similarities between users and/or between items. In its broadest definition, a Recommender System tries to predict the preference a user would give to an item. READ MORE
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9. Improving the Chatbot Experience : With a Content-based Recommender System
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Chatbots are computer programs with the capability to lead a conversation with a human user. When a chatbot is unable to match a user’s utterance to any predefined answer, it will use a fallback intent; a generic response that does not contribute to the conversation in any meaningful way. READ MORE
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10. Automatic tag suggestions using a deep learning recommender system
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study was conducted to investigate how well deep learning can be applied to the field of tag recommender systems. In the context of an image item, tag recommendations can be given based on tags already existing on the item, or on item content information. READ MORE