Essays about: "science in media"
Showing result 11 - 15 of 380 essays containing the words science in media.
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11. Context-Aware Fashion Recommender Systems to Provide Intent-based Recommendations to Customers
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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. READ MORE
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12. Spatiotemporal Selves on a Location-Based Social Network : A Postphenomenological Autoethnography of Snap Map
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The location-based social network (LBSN) Snapchat allows millions of users to share their locations to others through Snap Map: a digital map that updates their position each time they open the app. While social science studies have explored sentiments, behaviors and norms among Snap Map users, there is limited research on this type of location-based social network in the field of human-computer interaction (HCI), indicating a need for expanding the understanding of the roles that this technology and its design play in shaping the experiences and interactions among users. READ MORE
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13. Designing Diverse Features to Reduce the Filter Bubble Effect on Social Media
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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14. Using Social Media and Personality Predictions to Anticipate Startup Success
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE
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15. Balancing Interoperability and Data Sensitivity: A Design Science approach to building a zero-knowledge API for Healthcare Data
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : The aim of the study was to develop a platform to monitor and evaluate care homes using heterogeneous data sources for a French startup company. The study found that there was no current system to supervise healthcare resources in these facilities with live data. READ MORE