Text Retrieval and Filtering: Analytic Models of Performance: 3 (The Information Retrieval Series, 3) - Image 1

£165.05

Springer Text Retrieval and Filtering: Analytic Models of Performance: 3 (The Information Retrieval Series, 3)

Name: Text Retrieval and Filtering: Analytic Models of Performance: 3 (The Information Retrieval Series, 3)
Brand: Springer
Price: 165.05 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£165 today · usual range £155–£166 · best ever £155

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 30 days • 30 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 30 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £155 (15 days, 50.0%)

Price range: £155 - £166

Price levels: 4 different prices over 30 days

Description

Text Retrieval and Filtering: Analytical Models of Performance is the first book that addresses the problem of analytically computing the performance of retrieval and filtering systems. The book describes means by which retrieval may be studied analytically, allowing one to describe current performance, predict future performance, and to understand why systems perform as they do. The focus is on retrieving and filtering natural language text, with material addressing retrieval performance for the simple case of queries with a single term, the more complex case with multiple terms, both with term independence and term dependence, and for the use of grammatical information to improve performance. Unambiguous statements of the conditions under which one method or system will be more effective than another are developed. Text Retrieval and Filtering: Analytical Models of Performance focuses on the performance of systems that retrieve natural language text, considering full sentences as well as phrases and individual words. The last chapter explicitly addresses how grammatical constructs and methods may be studied in the context of retrieval or filtering system performance. The book builds toward solving this problem, although the material in earlier chapters is as useful to those addressing non-linguistic, statistical concerns as it is to linguists. Those interested in grammatical information should be cautioned to carefully examine earlier chapters, especially Chapters 7 and 8, which discuss purely statistical relationships between terms, before moving on to Chapter 10, which explicitly addresses linguistic issues. Text Retrieval and Filtering: Analytical Models of Performance is suitable as a secondary text for a graduate level course on Information Retrieval or Linguistics, and as a reference for researchers and practitioners in industry.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0792381777
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 June 1998
Listed Since: 15 December 2006

Barcode

No barcode data available

Springer Text Retrieval and Filtering: Analytic Models of Performance: 3 (The Information Retrieval Series, 3)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Natural Language Information Retrieval: 7 (Text, Speech and Language Technology, 7)

Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval: 7 (The Information Retrieval Series, 7)

Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval: 7 (The Information Retrieval Series, 7)

Machine Learning for Text

Machine Learning for Text

Text Information Retrieval Systems (Library and Information Science)

Machine Learning for Text

Cross-Language Information Retrieval: 2 (The Information Retrieval Series, 2)

Quality Issues in the Management of Web Information: 50 (Intelligent Systems Reference Library, 50)

Artificial Semantics in Text Retrieval

Information Retrieval and Natural Language Processing: A Graph Theory Approach: 104 (Studies in Big Data, 104)

Topic Detection and Tracking: Event-based Information Organization: 12 (The Information Retrieval Series, 12)

Information Retrieval: Algorithms and Heuristics: 15 (The Information Retrieval Series, 15)

Topic Detection and Tracking: Event-based Information Organization: 12 (The Information Retrieval Series, 12)

Text Mining with Machine Learning: Principles and Techniques

Information Retrieval Technology: Third Asia Information Retrieval Symposium, AIRS 2006, Singapore, October 16-18, 2006, Proceedings: 4182 (Lecture Notes in Computer Science, 4182)

Springer Multimedia Information Retrieval - Text and Audio Book

Semantic Search on Text and Knowledge Bases (Foundations and Trends (R) in Information Retrieval)

Web Forum Retrieval and Text Analytics: A Survey (Foundations and Trends in Information Retrieval)

Text Analytics for Corpus Linguistics and Digital Humanities: Simple R Scripts and Tools (Language, Data Science and Digital Humanities)

From Search Personalization to Semantic Enrichment: Adapting Information Retrieval to User Needs in an Evolving Web Environment

Natural Language Processing in Artificial Intelligence ― NLPinAI 2021: 999 (Studies in Computational Intelligence, 999)

Managing Data From Knowledge Bases: Querying and Extraction

Current Trends in Semantic Web Technologies: Theory and Practice: 815 (Studies in Computational Intelligence, 815)