Personalized Machine Learning
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Personalized Machine Learning
Author: Julian McAuley
language: en
Publisher: Cambridge University Press
Release Date: 2022-02-03
Explains methods behind machine learning systems to personalize predictions to individual users, from recommendation to dating and fashion.
Machine Learning and Data Mining in Pattern Recognition
This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
AI, Corporate Social Responsibility, and Marketing in Modern Organizations
In the contemporary business landscape, the intersection of artificial intelligence (AI), corporate social responsibility (CSR), and marketing is reshaping how organizations engage with consumers and promote their values. AI technologies are enabling companies to analyze consumer behavior, tailor marketing strategies, and measure the impact of their CSR initiatives. This integration allows businesses to enhance their brand image while demonstrating commitment to social and environmental issues, building deeper connections with customers who prioritize ethical practices. As organizations navigate this evolving terrain, leveraging AI to drive CSR efforts becomes essential for building trust, enhancing reputation, and achieving sustainable growth in a socially conscious market. AI, Corporate Social Responsibility, and Marketing in Modern Organizations explores the integration of intelligent technology, CSR, and marketing in today’s organizations and businesses. The effects of these practices are examined, along with solutions for improved consumer marketing, communication across sectors, and internal management. This book covers topics such as automation technology, hotel management, and market intelligence, and is a useful resource for computer engineers, business owners, entrepreneurs, marketers, academicians, and researchers.