Essays about: "consumer prediction"

Showing result 11 - 15 of 44 essays containing the words consumer prediction.

  1. 11. Do Judge a Book by its Cover! : Predicting the genre of book covers using supervised deep learning. Analyzing the model predictions using explanatory artificial intelligence methods and techniques.

    University essay from Linköpings universitet/Datorseende

    Author : Alice Velander; David Gumpert Harrysson; [2021]
    Keywords : Convolutional neural network; Book cover; Explanatory artificial intelligence;

    Abstract : In Storytel’s application on which a user can read and listen to digitalized literature, a user is displayed a list of books where the first thing the user encounters is the book title and cover. A book cover is therefore essential to attract a consumer’s attention. READ MORE

  3. 12. Preprocessing method comparison and model tuning for natural language data

    University essay from Högskolan Dalarna/Mikrodataanalys

    Author : Peter Tempfli; [2020]
    Keywords : Natural language processing; sentiment analysis; machine learning;

    Abstract : Twitter and other microblogging services are a valuable source for almost real-time marketing, public opinion and brand-related consumer information mining. As such, collection and analysis of user-generated natural language content is in the focus of research regarding automated sentiment analysis. READ MORE

  4. 13. Predicting customer purchase behavior within Telecom : How Artificial Intelligence can be collaborated into marketing efforts

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : John Forslund; Jesper Fahlén; [2020]
    Keywords : Recurrent Neural Networks; RNN; Long Short-Term Memory; LSTM; Clickstream Data; Telecom; Consumer Behavior; Customer Journey; Purchase Prediction.; Recurrent Neural Networks; RNN; Long Short-Term Memory; LSTM; Clickstream Data; Telekom; Kundbeteende; Köpresa; Köpprediktering;

    Abstract : This study aims to investigate the implementation of an AI model that predicts customer purchases, in the telecom industry. The thesis also outlines how such an AI model can assist decision-making in marketing strategies. READ MORE

  5. 14. Estimation of Loss Given Default Distributions for Non-Performing Loans Using Zero-and-One Inflated Beta Regression Type Models

    University essay from KTH/Matematisk statistik

    Author : Carolina Ljung; Maria Svedberg; [2020]
    Keywords : Loss Given Default; Non-Performing Loans; Internal Ratings Based Approach; Basel Accords; Zero-and-One Inflated Beta Regression; Bayesian Inference; Förlust vid fallissemang; Icke-presterande lån; Intern riskklassificeringsmetod; Basel; Utvidgad betaregression; Bayesiansk inferens;

    Abstract : This thesis investigates three different techniques for estimating loss given default of non-performing consumer loans. This is a contribution to a credit risk evaluation model compliant with the regulations stipulated by the Basel Accords, regulating the capital requirements of European financial institutions. READ MORE

  6. 15. Extraction and Quantification of Features in XCT Datasets of Fibre Reinforced Polymers using Machine Learning Techniques

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Miroslav Ivanov Yosifov; [2020]
    Keywords : ;

    Abstract : This master’s thesis shows the extraction, quantification and visual analysis of pores and individual fibres in fibre reinforced polymer (FRP)materials. The core methods used and advanced for this purpose are tailored deep learning techniques, which are coupled with interactive visualisation. READ MORE