Sökning: "machine learning personalization"

Visar resultat 6 - 10 av 20 uppsatser innehållade orden machine learning personalization.

1. 6. Data-driven Management Framework using National and Corporate Culture Analytics to foster Innovation Ambidexterity : A case study on a world leading telecom company

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Författare :Chiara Isola; Divya Peddireddy; [2021]
   Nyckelord :Ambidexterity; Exploration; Exploitation; Innovation; National culture; Corporate culture; Telecommunication Sector; Human Capital; Data-driven Management; Business Strategy; Machine Learning;

   Sammanfattning : Background: In a highly competitive world, leaders of firms highly dependent on innovation, such astelecom companies, must acquire data-driven managerial skills to systematically analyze datasets from multiple points of view to aid decision-making in the new context of Industry 4.0. LÄS MER

3. 7. AI in Marketing – Curse or Blessing? : Impacts of Programmatic Advertising and Personalized Content on Society

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Christopher Klee; [2021]
   Nyckelord :programmatic advertising; personalization; ethics; digital marketing; artificial intelligence; big data; privacy; filter bubble; diversity of opinion; automation; real-time bidding; machine learning.;

   Sammanfattning : With the help of Programmatic Advertising and the resulting personalized content, consumers can be targeted precisely and with the help of Artificial Intelligence. The associated use of customer data creates ethical conflicts. LÄS MER

4. 8. Marketers are Watching You : An exploration of AI in relation to marketing, existential threats, and opportunities

   Kandidat-uppsats, Jönköping University

   Författare :Sofia Lindström; Sebastian Edemalm; Erik Reinholdsson; [2021]
   Nyckelord :Artificial Intelligence; AI; Marketing Automation; Machine Learning; Bubble; Bias; Personalization; Black Box; Manipulation; Marketing; Digital Marketing; Digitalization;

   Sammanfattning : Background: As of today, it is apparent that with the ever-changing demands and needs of customers, companies are facing enormous pressure to deliver the right value, on time, in the right way, and proper manner. To realize the full potential of Artificial Intelligence (AI), a careful plan and method need to be established in the development and deployment when incorporating the technology with marketing. LÄS MER

5. 9. Personalizing the post-purchase experience in online sales using machine learning.

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Nganga Kamau; Dylan Dehoky; [2021]
   Nyckelord :Personalization; Upselling; Optimization; Machine learning; Binary classification; Gra-dient boosting; Deep learning; Supervised learning; Imbalanced data; Personifiering; Merf¨ors¨aljning; Optimering; Maskininl¨arning; Bin¨ar klassificering; Gra-dient boosting; Djupinl¨arning; ¨Overvakat l¨arande; Obalanserad data.;

   Sammanfattning : Advances in machine learning, together with an abundance of available data has lead to an explosion in personalized offerings and being able to predict what consumers want, and need without them having to ask for it. During the last decade, it has become a multi billion dollar industry, and a capability upon many of the leading tech companies rely on in their business model. LÄS MER

7. 10. Maskininlärning inom digital marknadsföring : En studie om hur maskininlärning hjälper eller stjälper digitala marknadsföringsbyråer, och vilka faktorer som bör tas i beaktning vid användning av maskininlärning

   Kandidat-uppsats, Södertörns högskola/Medieteknik

   Författare :Joshua Fürsten Cardell; Maya Källström; [2020]
   Nyckelord :Digital marketing; content; digital marketing agency; big data; machine learning; artificial intelligence; personalized marketing; work system; Digital marknadsföring; innehåll; digitala marknadsföringsbyråer; big data; maskininlärning; artificiell intelligens; personaliserad marknadsföring; arbetssystem;

   Sammanfattning : Problem: Although AI tools have come to facilitate and influence digital marketing in several ways, there is a continuing need for research on how AI can alleviate marketing problems and how the use of AI tools for marketing purposes can be facilitated for digital marketing agencies.  Purpose: The purpose of the study is to demonstrate how and why machine learning can both benefit and harm digital marketing agencies, as well as what factors digital marketing agencies need to take into account if they intend to use machine learning in digital marketing. LÄS MER