Sökning: "Recommender systems"

Visar resultat 1 - 5 av 150 uppsatser innehållade orden Recommender systems.

1. 1. Exploring the Future of Movie Recommendations : Increasing User Satisfaction using Generative Artificial Intelligence Conversational Agents

   Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Författare :Signe Bennmarker; [2023]
   Nyckelord :User centered design; Recommender systems; Natural language processing; Conversational agent; User satisfaction;

   Sammanfattning : This thesis explores potential strategies to enhance user control and satisfaction within the movie selection process, with a particular focus on the utilization of conversational generative artificial intelligence, such as ChatGPT, for personalized movie recommendations. The study adopts a qualitative user-centered design thinking approach, aiming to compre-hensively understand user needs, goals, and behavior. LÄS MER

3. 2. Context-Aware Fashion Recommender Systems to Provide Intent-based Recommendations to Customers

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

   Författare :Edda Waciira; Marah Thomas; [2023]
   Nyckelord :e-commerce; Fashion Recommendation Systems; Machine Learning; Recommendation Systems;

   Sammanfattning : In recent years, Recommendation Systems have revolutionized how social media and ecommerce are used. Fashion Recommendation Systems have made it easier for customers to do shopping, by recommending items to them based on various factors, such as their previous orders, and their similarities to other users. LÄS MER

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

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

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

   Sammanfattning : 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. LÄS MER

5. 4. 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

7. 5. 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