|
Books > Computing & IT > General theory of computing
|
Buy Now
A Survey of Query Auto Completion in Information Retrieval (Paperback)
Loot Price: R1,752
Discovery Miles 17 520
|
|
|
A Survey of Query Auto Completion in Information Retrieval (Paperback)
Series: Foundations and Trends (R) in Information Retrieval
Expected to ship within 10 - 15 working days
|
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
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
(1)
