Essays about: "recommender systems"
Showing result 21 - 25 of 136 essays containing the words recommender systems.
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21. Algorithmic vs. Perceived Fairness in Music Recommender Systems : An Investigation of Popularity Bias from a User Perspective
University essay fromAbstract : Recommender systems have the potential of helping users in finding relevant items in the online environment, and in many ways, they impact which content we consume. Thus, how fair these systems are affects us. A common fairness issue in recommender systems is popularity bias. READ MORE
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22. Attention-based Multi-Behavior Sequential Network for E-commerce Recommendation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The original intention of the recommender system is to solve the problem of information explosion, hoping to help users find the content they need more efficiently. In an e-commerce platform, users typically interact with items that they are interested in or need in a variety of ways. For example, buying, browsing details, etc. READ MORE
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23. Offline Reinforcement Learning for Scheduling Live Video Events in Large Enterprises
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In modern times, live video streaming events in companies has become an increasingly relevantmethod for communications. As a platform provider for these events, being able to deliverrelevant recommendations for event scheduling times to users is an important feature. READ MORE
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24. Recommender system for IT security scanning service : Collaborative filtering in an error report scenario
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recommender systems have become an integral part of the user interface of many web applications. Recommending items to buy, media to view or similar “next choice”-recommendations has proven to be a powerful tool to improve costumer experience and engagement. READ MORE
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25. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. READ MORE