Essays about: "Personalised Recommendation"

Found 5 essays containing the words Personalised Recommendation.

1. 1. Attention based Knowledge Tracing in a language learning setting

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sebastiaan Vergunst; [2022]
   Keywords : Knowledge Tracing; Exercise Recommendation; Personalised Learning; Recurrent Neural Network; Attention; Self-Attention; Exercise Embedding; Kunskapsspårning; Övningsrekommendation; Personligt Anpassad Inlärning; Rekurrenta Neurala Nätverk; Uppmärksamhet; Självuppmärksamhet; Övningsembedding;

   Abstract : Knowledge Tracing aims to predict future performance of users of learning platforms based on historical data, by modeling their knowledge state. In this task, the target is a binary variable representing the correctness of the exercise, where an exercise is a word uttered by the user. READ MORE

3. 2. Finding time-based listening habits in users music listening history to lower entropy in data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : John Magnusson; [2021]
   Keywords : Data mining; Clustering; Listening habits; Entropy.; Datautvinning; Klusteranalys; Lyssningsvanor; Entropi.;

   Abstract : In a world where information, entertainment and e-commerce are growing rapidly in terms of volume and options, it can be challenging for individuals to find what they want. Search engines and recommendation systems have emerged as solutions, guiding the users. READ MORE

4. 3. Increased Safety on Cycling Paths by Improving Road Maintenance : A Concept to Report Faults and Provide Grades on Cycling Paths

   University essay from KTH/Hållbarhet och miljöteknik

   Author : Sara Vitmosse; [2018]
   Keywords : MCA; Cycling infrastructure; Operation and maintenance; Mobile application; reporting system;

   Abstract : Urbanisation is increasing and more sustainable transport modes are promoted, in both the sustainable development goals and the national goals. Sweden has developed a national cycling strategy, with the purpose to improve cycling infrastructure and make more people chose the bike. READ MORE

5. 4. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Oktay Bahceci; [2017]
   Keywords : Information Filtering; Information Retrieval; Search Engine; Search Engines; Recommendation; Music Recommendation; Personalized Recommendation; Personalised Recommendation; Context Aware Recommendation; Recommender Systems; Statistical Learning; Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Artificial Neural Networks; Feed Forward Neural Networks; Convolutional Neural Networks; Recurrent Neural Networks; Deep Neural Networks; Embedding;

   Abstract : Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet, and state-of-the-art approaches rely on Machine Learning and Deep Learning in order to create accurate and personalized recommendations for users in a given context. These models require big amounts of data with a variety of features such as time, location and user data in order to find correlations and patterns that other classical models such as matrix factorization and collaborative filtering cannot. READ MORE

6. 5. Providing Resources to Target User Groups through Customization of Web Site

   University essay from JTH. Forskningsmiljö Informationsteknik

   Author : Hong Shao; Aida Amirfallah; [2012]
   Keywords : Personalization System; Ontology; Semantic web; Cold-start problem;

   Abstract : In this thesis, we plan to use a group-based semantic-expansion approach to design a new personalised system framework. Semantic web and group preference offer solution to the above problem. In this thesis, ontologies and semantic techniques are applied in different components of the framework. READ MORE