IR Books awaiting reviewers

Efthimis Efthimiadis <[email protected]> Sat, 17 Nov 2007 15:23:43 -0800
Newsgroups gmane.comp.information-retrieval.webir
Message-ID <77749EF84996E74A940BDEC97DB10E150C06454E@sdc-mbx-01.exchange.washington.edu>
Hi,

As the Books Review Editor for the "Information Retrieval" Journal (Springer http://www.springerlink.com/content/103814/ )
I'd like to invite you to become a book reviewer. Please check the titles below and let me know which one you want to review.

A book review is typically four (4) to ten (10) double-spaced pages or approximatelly 1000-3000 words and should be completed within six (6) weeks of receiving the book.
(http://faculty.washington.edu/efthimis/springer_books/IR_index.html#forreviewers )


Books Available for Review:
(TITLES only, arranged by order received, most recent first. Please check the link below for more details on each book.)

http://faculty.washington.edu/efthimis/springer_books/availrev.html


Computing Attitude and Affect in Text: Theory and Applications
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Multimedia Data Mining and Knowledge Discovery
Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization (2nd. edition)
Multimedia Retrieval
Semi-Supervised Learning
Web Data Mining: Exploring Hyperlinks, Content and Usage Data
Lucene In Action
Enabling Semantic Web Services: The Web Service Modeling Ontology
Web Data Management Practices: Emerging Techniques and Technologies
Google's Page Rank and Beyond: The Science of Search Engine Rankings
Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems
Computational Linguistics and Intelligent Text Processing
Soft Computing in Web Information Retrieval: Models and Applications
A Unified Framework for Video Summarization, Browsing & Retrieval
TREC Experiment and Evaluation in Information Retrieval
Video Data Management and Information Retrieval
Web Systems Design and Online Consumer Behavior
Web Mining: Applications and Techniques
Knowledge-Based Clustering: From Data to Information Granules


http://faculty.washington.edu/efthimis/springer_books/availrev.html


Looking forward to hearing from you.

Cheers

Efthi


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Efthimis N. Efthimiadis <[email protected]>
Associate Professor
The Information School, University of Washington
Suite 370 Mary Gates Hall, Box 352840
Seattle, WA 98195-2840, USA
Tel: (off.) 206-616-6077, (sch) 206-685-9937, fax. 206-616-3152 http://faculty.washington.edu/efthimis
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