Essays about: "Streaming Recommender Systems"

Showing result 1 - 5 of 16 essays containing the words Streaming Recommender Systems.

1. 1. 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

3. 2. Framing theory on music streaming platforms : How vocabulary influences the user experience

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

   Author : Lotte van Bree; [2023]
   Keywords : Framing Theory; Wording Effect; User Experience; Personalization; Satisfaction; Expectations;

   Abstract : Music streaming services aim to provide users with personalized content to avoid information overload and increase the user experience. Besides the recommender systems that are involved to ensure users are provided with their musical preferences, vocabulary can play a significant role in achieving personalization. READ MORE

4. 3. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items

   University essay from Stockholms universitet/Statistiska institutionen

   Author : Alice Jonason; [2023]
   Keywords : Recommender systems; Content-based systems; Implicit ratings; Latent Dirichlet Allocation; Vector Space Model;

   Abstract : 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. READ MORE

5. 4. What's in a name? How the vocabulary of personalised playlists affects user's expectation and satisfactions in music streaming services

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

   Author : Nina Boksjö; Naomi Petricioiu; [2022]
   Keywords : Personalisation; Recommender Systems; Vocabulary; Spotify; Personalised Messages; Streaming Services; User Interface; Expectation; Satisfaction; User Experience;

   Abstract : Background: The following study focuses on the area of personalisation within streaming services and how vocabulary of playlist names and categories affect expectations and satisfactions. The wording of personalised items is important to convey that content is directly made for a user, yet there are limited studies that explore what users anticipate and if the message conveys correct information to then lead to satisfaction. READ MORE

6. 5. Offline Reinforcement Learning for Scheduling Live Video Events in Large Enterprises

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Jonathan Franzén; [2022]
   Keywords : Reinforcement Learning; Offline Learning; Recommender Systems;

   Abstract : In modern times, live video streaming events in companies has become an increasingly relevantmethod for communications. As a platform provider for these events, being able to deliverrelevant recommendations for event scheduling times to users is an important feature. READ MORE