首页> 外文期刊>New Mathematics and Natural Computation >PERSONALIZATION TECHNIQUES AND RECOMMENDER SYSTEMS
【24h】

PERSONALIZATION TECHNIQUES AND RECOMMENDER SYSTEMS

机译:个性化技术和推荐系统

获取原文
获取原文并翻译 | 示例

摘要

The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed.rnThe book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, to library and personalized TV recommendation systems.
机译:互联网的迅猛发展已导致大量的在线信息,这种情况对最终用户不堪重负。为了克服这个问题,个性化技术得到了广泛的应用。这是该书的第一本,代表了个性化和推荐技术的多样性方面的研究工作。这些包括用户建模,内容,协作,混合和基于知识的推荐系统。它介绍了在从移动信息访问,市场营销和销售以及Web服务到图书馆和个性化电视推荐系统的各种应用程序中进行的理论研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号