Machine learning in marketing: A literature review, conceptual framework, and research agenda
EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …
considerable attention in different industry sectors, including marketing. ML and AI hold …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
Machine learning in forecasting motor insurance claims
Accurate forecasting of insurance claims is of the utmost importance for insurance activity as
the evolution of claims determines cash outflows and the pricing, and thus the profitability, of …
the evolution of claims determines cash outflows and the pricing, and thus the profitability, of …
A data science approach to risk assessment for automobile insurance policies
P Hosein - International Journal of Data Science and Analytics, 2024 - Springer
In order to determine a suitable automobile insurance policy premium, one needs to take
into account three factors: the risk associated with the drivers and cars on the policy, the …
into account three factors: the risk associated with the drivers and cars on the policy, the …
Constructing a personalized recommender system for life insurance products with machine‐learning techniques
The collaborative filtering (CF) recommendation algorithm predicts the purchases of specific
users based on their characteristics and purchase history. This study empirically analyzes …
users based on their characteristics and purchase history. This study empirically analyzes …
Learning recommendations from user actions in the item-poor insurance domain
While personalised recommendations are successful in domains like retail, where large
volumes of user feedback on items are available, the generation of automatic …
volumes of user feedback on items are available, the generation of automatic …
Machine learning model for ChatGPT usage detection in students' answers to open-ended questions: Case of Lithuanian language
P Stefanovič, B Pliuskuvienė, U Radvilaitė… - Education and …, 2024 - Springer
The public availability of large language models, such as chatGPT, brings additional
possibilities and challenges to education. Education institutions have to identify when large …
possibilities and challenges to education. Education institutions have to identify when large …
Machine learning recommendation system for health insurance decision making in Nigeria
The uptake of health insurance has been poor in Nigeria, a significant step to improving this
includes improved awareness, access to information and tools to support decision making …
includes improved awareness, access to information and tools to support decision making …
Sentiment Analysis Penyedia layanan Asuransi dari Media Sosial Twitter
N Istiqomah, F Novika - Jurnal Tekno Kompak, 2024 - ejurnal.teknokrat.ac.id
Abstrak− Tujuan dari penelitian ini adalah menerapkan analisis sentimen untuk
mengevaluasi pandangan masyarakat terhadap penyedia layanan asuransi kesehatan …
mengevaluasi pandangan masyarakat terhadap penyedia layanan asuransi kesehatan …
State of art and emerging trends on group recommender system: a comprehensive review
A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …
considering not only each person's preferences but also factors such as social dynamics …