Sökning: "feature vector representation"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden feature vector representation.
1. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items
Master-uppsats, Stockholms universitet/Statistiska institutionenSammanfattning : 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. LÄS MER
2. The Role of Data in Projected Quantum Kernels: The Higgs Boson Discrimination
Master-uppsats, KTH/FysikSammanfattning : The development of quantum machine learning is bridging the way to fault tolerant quantum computation by providing algorithms running on the current noisy intermediate scale quantum devices.However, it is difficult to find use-cases where quantum computers exceed their classical counterpart. LÄS MER
3. Anomaly Detection in Log Files Using Machine Learning
M1-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Logs generated by the applications, devices, and servers contain information that can be used to determine the health of the system. Manual inspection of logs is important, for example during upgrades, to determine whether the upgrade and data migration were successful. LÄS MER
4. Finding time-based listening habits in users music listening history to lower entropy in data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
5. Searching and Recommending Texts Related to Climate Change
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This project considers the design of a machine learning system to search efficiently a database of texts related to climate change. The efficient search and navigation of such a database make it easier to find actionable information, detect trends, or derives other useful information. LÄS MER