Sökning: "Recommender algorithms"

Visar resultat 1 - 5 av 52 uppsatser innehållade orden Recommender algorithms.

1. 1. An Empirical Survey of Bandits in an Industrial Recommender System Setting

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Tobias Schwarz; Johan Brandby; [2023-09-21]
   Nyckelord :computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

   Sammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER

3. 2. Integrating Machine Learning into Constraint Programming for Radio Recommendation in Radio Access Networks

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :José Ruiz Alarcón; [2023]
   Nyckelord :;

   Sammanfattning : This thesis introduces an approach for integrating Machine Learning into Constraint Programming for recommender systems. The main idea is to use clustering algorithms to divide the data into groups, which we use to derive objective functions that are used in a constraint solver. LÄS MER

4. 3. Recommender Systems Using Limited Dataset Sizes

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Carl Bentzer; Harry Thulin; [2023]
   Nyckelord :;

   Sammanfattning : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. LÄS MER

5. 4. User concerns about ethical issues related to recommender systems in social media

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Nik Norman; [2023]
   Nyckelord :Recommender Systems; Artificial Intelligence AI ; Social Media; Privacy; Polarization; Society;

   Sammanfattning : Popular social media platforms use recommender systems (RS) to improve users’ experience. However, these systems pose potential issues including political polarization and fake news spread. LÄS MER

7. 5. Developing Machine Learning-based Recommender System on Movie Genres Using KNN

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Anthony Ezeh; [2023]
   Nyckelord :: Movie Recommender System; Machine Learning; Content-based Filtering; Collaborative Filtering; KNN Algorithms; Classification Algorithm;

   Sammanfattning : With an overwhelming number of movies available globally, it can be a daunting task for users to find movies that cater to their individual preferences. The vast selection can often leave people feeling overwhelmed, making it challenging to pick a suitable movie. LÄS MER