Reflection: Data Mining Discovery

Netflix has been a massive beneficiary of text mining in recent times. Among the benefits that text mining grants, Netflix optimizes the quality of aired content to satisfy its customers worldwide. At times, customers have expressed their dissatisfaction with the poor content that Netflix gives its customers. However, with better algorithms in place, the streaming company manages to get responses from the fans, culminating in cementing its fan base after improving the services. Besides that, Netflix has been reaping the benefits of text mining as far as recommendations are concerned. Currently, the company can make recommendations to viewers on what to watch, thanks to text mining. With text mining, the streaming giant has perfected giving viewers a dedicated streaming experience. According to Govind (2014), Netflix scooped an award from Primetime Emmy Engineering for providing the best streaming services to the viewers.

Web mining is a data mining technique that involves the automatic discovery and extraction of information from web services (Sharpe et al., 2019). In the contemporary world, there is a model shift that necessitates knowledge extraction more than data collection. Netflix has benefitted from web mining for a while now. The data mining technique has enabled Netflix to focus on producing content that best aligns with societal issues. Currently, Netflix has reached many societies thanks to the knowledge extraction from the collected data for quick, pertinent decision-making. According to Tuzhilin (2012), Netflix is among companies that have successfully implemented web mining that has improved customer relationship management (CRM). In justification, content personalization from Netflix has been due to the knowledge extraction from big data. Today, viewers across the globe enjoy context awareness with the aid of its algorithm quality.

References

Govind, N. (2014). Optimizing the Netflix Streaming Experience with Data Science. Retrieved fromhttps://netflixtechblog.com/optimizing-the-netflix-streaming-experience-with-data-science-725f04c3e834

Sharpe, N. D., De Veaux, R. D., & Velleman, P. F. (2019).Business Statistics(4th ed.). Retrieved from https://www.redshelf.com

Tuzhilin, A. (2012). Customer relationship management and Web mining: the next frontier.Data Mining and Knowledge Discovery,24(3), 584-612.

Questions

1. Netflix varies its offerings based on the country it is streaming from. Is this due to their text mining techniques?
2. How do they optimize their offerings on new content that may not have received viewer feedback yet?
3. In recent years, Netflix has also begun sponsoring the development of their own films and television series. Do you think the chosen plots are based on the same data mining algorithm?