Essays about: "Rekommendationssystem"

Showing result 1 - 5 of 74 essays containing the word Rekommendationssystem.

1. 1. Designing Diverse Features to Reduce the Filter Bubble Effect on Social Media

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

   Author : Ramya Kandula; [2023]
   Keywords : Filter bubbles; recommender systems; diversity; social media; filter bubblor; rekommenderande system; mångfald; sociala medier;

   Abstract : The filter bubble effect has been an active area of research that has been explored in various contexts within social media. Research on recommender system designs within filter bubbles has received a lot of attention, mainly due to its impact on the phenomena. READ MORE

3. 2. Recommender Systems Using Limited Dataset Sizes

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

   Author : Carl Bentzer; Harry Thulin; [2023]
   Keywords : ;

   Abstract : 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. READ MORE

4. 3. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

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

   Author : Malvin Lundqvist; [2023]
   Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

   Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE

5. 4. Queryable Workflows: Extending Dataflow Streaming with Dynamic Request/Reply Communication

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

   Author : Chengyang Huang; [2023]
   Keywords : Stream Processing; Observability; SQL Query Engine; Stateful Serverless; Searbetning av Strömmar; Observabilitet; SQL-förfrågningsmotor; Stateful Serverless;

   Abstract : Stream processing systems have been widely adopted in applications such as recommendation systems, anomaly detection, and system monitoring due to their real-time capabilities. Improving observability in stream processing systems can further expand their application scenarios, including the implementation of stateful serverless applications. READ MORE

6. 5. Design an emotionally positive experience via sentiment classification for social media recommendation systems : A case study in TikTok

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

   Author : Yawen Deng; [2023]
   Keywords : recommendation system; social application; sentiment classification; emotions; UX; rekommendationssystem; social tillämpning; känslolägesklassificering; känslor; UX;

   Abstract : Recommendation system benefits social media by attracting users with the posts they prefer. The recommended posts, however, may not align with what users really need to browse, especially in terms of emotion. READ MORE