Thesis
Identifying online streaming user value in the Netflix recommendation system
Master of Science (M.S.), Drexel University
Sep 2017
DOI:
https://doi.org/10.17918/etd-7515
Abstract
Netflix is one of the most successful providers of Over-The-Top content, delivered via the internet. By using a massive amount of data generated by its streaming users, a personalized recommendation system is one of Netflix's value propositions. However, due to a lack of publically available data and studies, it is difficult to determine whether its recommendation system has brought true value to streaming users, and how important this feature is to its users. The purpose of this study is to evaluate the recommendation system from the streaming users' point of view. By collecting survey results from 119 participants, this study will attempt to reveal the relationship between streaming users and the personalized recommendation system, and to show whether or not streaming users are satisfied with this feature.
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Details
- Title
- Identifying online streaming user value in the Netflix recommendation system
- Creators
- Jingyu Yan - DU
- Contributors
- Philip W. Salas (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- viii, 58 pages
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- Bennett S. LeBow College of Business; Management; Drexel University
- Other Identifier
- 7515; 991014632293404721