eBook - PDF
Introduction to Information Retrieval
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- PDF
- Available on iOS & Android
eBook - PDF
Introduction to Information Retrieval
About this book
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
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Yes, you can access Introduction to Information Retrieval by Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze in PDF and/or ePUB format, as well as other popular books in Computer Science & Databases. We have over one million books available in our catalogue for you to explore.
Information
1.5
References
and
further
reading
17
toward
Boolean
retrieval
systems,
but
the
early
years
saw
a
heady
debate
over
various
disparate
technologies
for
retrieval
systems.
For
example,
Moo-
ers
(1961)
dissented:
It
is
a
common
fallacy,
underwritten
at
this
date
by
the
investment
of
sev-
eral
million
dollars
in
a
variety
of
retrieval
hardware,
that
the
algebra
of
George
Boole
(1847)
is
the
appropriate
formalism
for
retrieval
system
de-
sign.
This
view
is
as
widely
and
uncritically
accepted
as
it
is
wrong.
The
observation
of
and
versus
or
giving
you
opposite
extremes
in
a
pre-
cision/recall
tradeoff,
but
not
the
middle
ground
comes
from
(Lee
and
Fox
1988).
The
book
(Witten
et
al.
1999)
is
the
standard
reference
for
an
in-depth
com-
parison
of
the
space
and
time
efficiency
of
the
inverted
index
versus
other
possible
data
structures;
a
more
succinct
and
up-to-date
presentation
ap-
pears
in
Zobel
and
Moffat
(2006).
We
further
discuss
several
approaches
in
Chapter
5
.
Friedl
(2006)
covers
the
practical
usage
of
regular
expressions
for
searching.
regular
expressions
The
underlying
computer
science
appears
in
(Hopcroft
et
al.
2000).
Table of contents
- Cover
- Title
- Copyright
- Contents
- Table of Notation
- Preface
- 1 Boolean retrieval
- 2 The term vocabulary and postings lists
- 3 Dictionaries and tolerant retrieval
- 4 Index construction
- 5 Index compression
- 6 Scoring, term weighting, and the vector space model
- 7 Computing scores in a complete search system
- 8 Evaluation in information retrieval
- 9 Relevance feedback and query expansion
- 10 XML retrieval
- 11 Probabilistic information retrieval
- 12 Language models for information retrieval
- 13 Text classification and Naive Bayes
- 14 Vector space classification
- 15 Support vector machines and machine learning on documents
- 16 Flat clustering
- 17 Hierarchical clustering
- 18 Matrix decompositions and latent semantic indexing
- 19 Web search basics
- 20 Web crawling and indexes
- 21 Link analysis
- Bibliography
- Index