Advanced Information Retrieval

Emergent Web Intelligence: Advanced Information Retrieval [Repost]

Richard Chbeir, Youakim Badr, Ajith Abraham, Aboul-Ella Hassanien - Emergent Web Intelligence: Advanced Information Retrieval
Published: 2010-04-13 | ISBN: 1849960739, 1849960755 | PDF | 487 pages | 6 MB
Emergent Web Intelligence: Advanced Information Retrieval (repost)

Emergent Web Intelligence: Advanced Information Retrieval
by Richard Chbeir, Youakim Badr, Ajith Abraham, Aboul-Ella Hassanien
English | 2010 | ISBN: 1849960739 | 487 pages | PDF | 6.11 MB
Emergent Web Intelligence: Advanced Information Retrieval (repost)

Richard Chbeir, Youakim Badr, Ajith Abraham, Aboul-Ella Hassanien, "Emergent Web Intelligence: Advanced Information Retrieval"
Sp–ger | 2010 | ISBN: 1849960739 | 487 pages | PDF | 5,5 MB

Advances in Information Retrieval  eBooks & eLearning

Posted by tanas.olesya at Oct. 8, 2016
Advances in Information Retrieval

Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval by Center for Intelligent Information Retri
English | 30 Apr. 2000 | ISBN: 0792378121 | 317 Pages | PDF | 8 MB

The scope of the work that is done in the CIIR is broad and goes significantly beyond "traditional" areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion.
Next Generation Search Engines: Advanced Models for Information Retrieval

Christophe Jouis and Ismail Biskri, "Next Generation Search Engines: Advanced Models for Information Retrieval"
English | ISBN: 1466603305 | 2012 | 562 pages | PDF | 11 MB

Information Retrieval for Music and Motion (repost)  

Posted by MoneyRich at Jan. 3, 2015
Information Retrieval for Music and Motion (repost)

Information Retrieval for Music and Motion by Meinard Müller
English | Sep 26, 2007 | ISBN: 3540740473 | 318 Pages | PDF | 21 MB

Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization.

Readings in Information Retrieval (repost)  

Posted by interes at Nov. 26, 2013
Readings in Information Retrieval (repost)

Readings in Information Retrieval by Karen Sparck Jones and Peter Willett
English | July 15, 1997 | ISBN-10: 1558604545 | 587 pages | DJVU | 11.5 Mb

Information retrieval systems provide end-user access to the huge range of textual information resources that are now available. The techniques used are now being applied to multimedia retrieval, and to related information-seeking tasks such as information extraction and summarization.
Text Information Retrieval Systems, Third Edition (repost)

Text Information Retrieval Systems, Third Edition (Library and Information Science) by Charles T. Meadow, Bert R. Boyce and Donald H. Kraft
English | 3 edition | March 26, 2007 | ISBN-10: 0123694124 | 390 pages | PDF | 3 Mb

This will be the third edition of the highly successful "Text Information Retrieval Systems". The book's purpose is to teach people who will be searching or designing text retrieval systems how the systems work. For designers, it covers problems they will face and reviews currently available solutions to provide a basis for more advanced study.

Stanford CS 276 Information Retrieval Course Autumn 2006  Video

Posted by jgodel at July 15, 2010
Stanford CS 276 Information Retrieval Course Autumn 2006

Stanford CS 276 Information Retrieval Course Autumn 2006
WMV | English | 60min | MP3 - 128kbps | 200 MB each file

Basic and advanced techniques for text-based information systems: efficient text indexing; Boolean and vector space retrieval models; evaluation and interface issues; Web search including crawling, link-based algorithms, and Web metadata; text/Web clustering, classification; text mining.
Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series) (Repost)

Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series)
Publisher: Springer | ISBN: 1402049870 | edition 2006 | PDF | 246 pages | 13,5 mb

Information extraction regards the processes of structuring and combining content that is explicitly stated or implied in one or multiple unstructured information sources. It involves a semantic classification and linking of certain pieces of information and is considered as a light form of content understanding by the machine. Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries. Advanced retrieval models satisfy that need and they rely on tools that automatically build a probabilistic model of the content of a (multi-media) document.
The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content.