| 书目名称 | Web Recommendations Systems | | 编辑 | K. R. Venugopal,K. C. Srikantaiah,Sejal Santosh Ni | | 视频video | | | 概述 | Covers the topic of Web recommender systems.Presents algorithmic approaches in the field of Web recommendations.Discusses how to measure the effectiveness of recommender systems and illustrates the me | | 图书封面 |  | | 描述 | This book focuses on Web recommender systems, offering an overview of approaches to develop these state-of-the-art systems. It also presents algorithmic approaches in the field of Web recommendations by extracting knowledge from Web logs, Web page content and hyperlinks. Recommender systems have been used in diverse applications, including query log mining, social networking, news recommendations and computational advertising, and with the explosive growth of Web content, Web recommendations have become a critical aspect of all search engines.. .The book discusses how to measure the effectiveness of recommender systems, illustrating the methods with practical case studies. It strikes a balance between fundamental concepts and state-of-the-art technologies, providing readers with valuable insights into Web recommender systems.. | | 出版日期 | Book 2020 | | 关键词 | Web recommendations systems; Web data extraction; WDICS; BGCAP; WCP-CMA; MPC-LSW algorithm; data structure | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-2513-1 | | isbn_softcover | 978-981-15-2515-5 | | isbn_ebook | 978-981-15-2513-1 | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 19:59:58
