| 书目名称 | Data Fusion in Information Retrieval |
| 编辑 | Shengli Wu |
| 视频video | |
| 概述 | Latest research on Data Fusion in Information Retrieval.Includes various example applications such as developing more effective information retrieval systems, a more reliable comparison of retrieval r |
| 丛书名称 | Adaptation, Learning, and Optimization |
| 图书封面 |  |
| 描述 | .The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others:. What are the key factors that affect the performance of data fusion algorithms significantly?. What conditions are favorable to data fusion algorithms?. CombSum and CombMNZ, which one is better? and why?. What is the rationale of using the linear combination method?. How can the best fusion option be found under any given circumstances?. |
| 出版日期 | Book 2012 |
| 关键词 | Data Fusion; Digital Libraries; Information Retrieval; Meta-search |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-28866-1 |
| isbn_softcover | 978-3-642-44801-0 |
| isbn_ebook | 978-3-642-28866-1Series ISSN 1867-4534 Series E-ISSN 1867-4542 |
| issn_series | 1867-4534 |
| copyright | Springer-Verlag Berlin Heidelberg 2012 |
发表于 2025-3-21 17:07:07
