Web Information Retrieval-SPRINGER pdf

RELEASE
TITLE: WEB INFORMATION RETRIEVAL
PUBLISHER....: SPRINGER
LANGUAGE......: ENGLISH
RELEASE TYPE..: RETAIL
FORMAT.......: PDF
RELEASE DATE..: 2013.11.17
ISBN.........: 9783642393143
STORE DATE....: 2013
SAVED.MONEY..: 42
DOLLAR DISKCOUNT.....: 02
AUTHOR.......: CERI, S., BOZZON, A., BRAMBILLA, M., DELLA
VALLE, E., FRATERNALI, P., QUARTERONI, S.
BOOK
With the proliferation of huge amounts of (heterogeneous) data on
the Web, the importance of information retrieval (IR) has grown
considerably over the last few years. Big players in the computer
industry, such as Google, Microsoft and Yahoo!, are the primary
contributors of technology for fast access to Web-based
information; and searching capabilities are now integrated into
most information systems, ranging from business management
software and customer relationship systems to social networks and
mobile phone applications.
Ceri and his co-authors aim at taking their readers from the
foundations of modern information retrieval to the most advanced
challenges of Web IR. To this end, their book is divided into
three parts. The first part addresses the principles of IR and
provides a systematic and compact description of basic
information retrieval techniques (including binary, vector space
and probabilistic models as well as natural language search
processing) before focusing on its application to the Web. Part
two addresses the foundational aspects of Web IR by discussing
the general architecture of search engines (with a focus on the
crawling and indexing processes), describing link analysis
methods (specifically Page Rank and HITS), addressing
recommendation and diversification, and finally presenting
advertising in search (the main source of revenues for search
engines). The third and final part describes advanced aspects of
Web search, each chapter providing a self-contained, up-to-date
survey on current Web research directions. Topics in this part
include meta-search and multi-domain search, semantic search,
search in the context of multimedia data, and crowd search.The
book is ideally suited to courses on information retrieval, as it
covers all Web-independent foundational aspects. Its presentation
is self-contained and does not require prior background
knowledge. It can also be used in the context of classic courses
on data management, allowing the instructor to cover both
structured and unstructured data in various formats.