Recommender System for Improving Customer Loyalty

Recommender System for Improving Customer Loyalty

Katarzyna Tarnowska , Zbigniew W. Raś , Lynn Daniel
尚無評分
Romance Science & Technology Business & Economics
格式 Kindle
頁數 182
語言 英語
已出版 Jan 1, 2019
出版商 Springer
版本 1st ed. 2020
ISBN-10 3030134385
ISBN-13 9783030134389
想要閱讀

評價這本書

出口書籍日誌

描述

In a rapidly evolving marketplace, retaining customer loyalty has become a paramount challenge for businesses. This insightful exploration delves into the complex world of recommender systems, showcasing their significant role in enhancing customer engagement and retention. Through a collection of research and practical insights, the authors illuminate how personalized recommendations can transform the customer experience and foster long-lasting relationships with brands.

The text synthesizes theoretical foundations with real-world applications, offering a comprehensive overview of the mechanics behind effective recommender systems. By drawing on cutting-edge technologies and analytics, the authors highlight how companies can leverage data to anticipate customer needs and preferences, thereby increasing satisfaction and loyalty.

Moreover, the book emphasizes the importance of trust and transparency in recommendation processes, addressing potential pitfalls and ethical considerations. It serves as a vital resource for researchers, practitioners, and anyone interested in understanding the intricate dynamics between technology, consumer behavior, and loyalty in today’s digital landscape.

評論

尚無評論

成為第一個評論這本書並分享你的想法的人

新增第一篇評論

閱讀記錄

找不到閱讀記錄

開始追蹤您的閱讀進度以在此查看日誌

添加您的第一個閱讀記錄

筆記

未找到筆記

開始添加筆記以在此查看

新增你的第一條筆記

交易日誌

找不到交易記錄

開始追蹤您的書籍交易以在此查看日誌

添加您的第一個交易記錄

相似書籍