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A Survey of Query Auto Completion in Information Retrieval (Paperback)
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A Survey of Query Auto Completion in Information Retrieval (Paperback)
Series: Foundations and Trends (R) in Information Retrieval
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Total price: R1,712
Discovery Miles: 17 120
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In information retrieval, query auto completion (QAC), also known
as type-ahead and auto-complete suggestion, refers to the following
functionality: given a prefix consisting of a number of characters
entered into a search box, the user interface proposes alternative
ways of extending the prefix to a full query. QAC helps users to
formulate their query when they have an intent in mind but not a
clear way of expressing this in a query. It helps to avoid possible
spelling mistakes, especially on devices with small screens. It
saves keystrokes and cuts down the search duration of users which
implies a lower load on the search engine, and results in savings
in machine resources and maintenance. Because of the clear benefits
of QAC, a considerable number of algorithmic approaches to QAC have
been proposed in the past few years. Query logs have proven to be a
key asset underlying most of the recent research. This monograph
surveys this research. It focuses on summarizing the literature on
QAC and provides a general understanding of the wealth of QAC
approaches that are currently available. This is an ideal reference
on the topic. Its contributions can be summarized as follows: tt
provides researchers who are working on query auto completion or
related problems in the field of information retrieval with a good
overview and analysis of state-of-the-art QAC approaches. In
particular, for researchers new to the field, the survey can serve
as an introduction to the state-of-the-art. It also offers a
comprehensive perspective on QAC approaches by presenting a
taxonomy of existing solutions. In addition, it presents solutions
for QAC under different conditions such as available
high-resolution query logs, in-depth user interactions with QAC
using eye-tracking, and elaborate user engagements in a QAC
process. It also discusses practical issues related to QAC. Lastly,
it presents a detailed discussion of core challenges and promising
open directions in QAC.
General
Imprint: |
Now Publishers Inc
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Country of origin: |
United States |
Series: |
Foundations and Trends (R) in Information Retrieval |
Release date: |
September 2016 |
First published: |
2016 |
Authors: |
Fei Cai
• Maarten de Rijke
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Dimensions: |
234 x 156 x 6mm (L x W x T) |
Format: |
Paperback
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Pages: |
108 |
ISBN-13: |
978-1-68083-200-6 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
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LSN: |
1-68083-200-X |
Barcode: |
9781680832006 |
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