Essays about: "collaborative platforms"
Showing result 1 - 5 of 61 essays containing the words collaborative platforms.
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1. Contextual Implications on Sustainable Entrepreneurship : a qualitative study on Food Waste Platforms contribution to reducing food waste in Sweden
University essay from SLU/Dept. of EconomicsAbstract : The global issue of food waste persists, with local digital solutions emerging to address aspects of this problem. Inspired by new economic models like the shared economy, Food waste platforms embody sustainable entrepreneurship. READ MORE
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2. HOW TO CHEAT IN ONLINE EXAMS
University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeAbstract : Purpose: The overall focus of the present study is on the relationship between academic dishonesty and information technologies in online higher education. Specifically, the purpose is to explore how digital technologies facilitate and shape academic offenses conducted by university students. READ MORE
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3. Value creation within a digital service platform through the lens of service-dominant (S-D) logic : A case study of Eljun’s digital payment platform
University essay from Uppsala universitet/Industriell teknikAbstract : The number of companies who base their business model on digital platforms has increased in the recent years. Successful examples of digital platforms are e.g., Airbnb, Klarna or Uber. READ MORE
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4. Recommender Systems Using Limited Dataset Sizes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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5. 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)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