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the integration of information retrieval concepts into a broader curriculum. With the rise of vast amounts of heterogeneous data online, the significance of information retrieval (IR) has surged. Major tech companies like Google, Microsoft, and Yahoo! lead the charge in developing technologies for swift access to web-based information, embedding search functionalities into various systems, including business management, customer relationship management, social networks, and mobile apps. The authors guide readers from the basics of modern IR to the complexities of Web IR. The book is structured into three parts: the first covers foundational IR principles and techniques, such as binary, vector space, and probabilistic models, along with natural language processing, transitioning to web applications. The second part delves into Web IR architecture, focusing on search engine processes like crawling and indexing, link analysis methods (Page Rank and HITS), recommendation systems, and advertising strategies. The final part explores advanced Web search topics, including meta-search, semantic search, multimedia data retrieval, and crowd search, each chapter offering a current survey of research directions. This comprehensive resource is ideal for information retrieval courses and can enrich traditional data management studies, requiring no prior knowledge.
Acquisto del libro
Web information retrieval, Stefano Ceri
- Lingua
- Pubblicato
- 2013
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- (Copertina rigida)
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