The Modern Algebra of Information Retrieval
The Modern Algebra of Information Retrieval
复制标题
信息检索的现代代数
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Sándor Dominich
中科院分区：
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作者：
Sándor Dominich
这本书采取了一种独特的方法，信息检索奠定了基础，为现代代数的信息检索的基础上格理论。所有主要的检索方法开发到目前为止，详细描述了布尔，向量空间和概率的方法，但也像PageRank，HITS和SALSA和作者的Web检索算法表明，他们都可以优雅地处理在一个统一的形式化的方式，使用格理论作为一个基本概念。此外，他还证明了基于格的信息检索方法允许我们制定新的检索方法。Sndor Dominich的演讲以类似工程的方法为特色，为了清晰和准确，用尽可能多的数学描述了所有的方法和技术。他的读者在计算机科学和数学将学习如何一个单一的概念可以用来理解最重要的检索方法，提出新的，并获得新的见解检索建模一般。因此，他的书适合研究人员和研究生，他们将额外受益于每章末尾的许多练习。
This book takes a unique approach to information retrieval by laying down the foundations for a modern algebra of information retrieval based on lattice theory. All major retrieval methods developed so far are described in detail Boolean, Vector Space and probabilistic methods, but also Web retrieval algorithms like PageRank, HITS, and SALSA and the author shows that they all can be treated elegantly in a unified formal way, using lattice theory as the one basic concept. Further, he also demonstrates that the lattice-based approach to information retrieval allows us to formulate new retrieval methods. Sndor Dominichs presentation is characterized by an engineering-like approach, describing all methods and technologies with as much mathematics as needed for clarity and exactness. His readers in both computer science and mathematics will learn how one single concept can be used to understand the most important retrieval methods, to propose new ones, and also to gain new insights into retrieval modeling in general. Thus, his book is appropriate for researchers and graduate students, who will additionally benefit from the many exercises at the end of each chapter.