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Author, Editor

Author(s):

Bast, Holger
Weber, Ingmar

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Editor(s):

Efthimiadis, Efthimis N.
Dumais, Susan
Hawking, David
Järvellin, Kalervo

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Not MPII Editor(s):

Efthimiadis, Efthimis N.
Dumais, Susan
Hawking, David
Järvellin, Kalervo

BibTeX cite key*:

bastweber06sigir

Title, Booktitle

Title*:

Type Less, Find More: Fast Autocompletion Search with a Succinct Index

Booktitle*:

SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Event, URLs

URL of the conference:

http://www.sigir2006.org/

URL for downloading the paper:

http://delivery.acm.org/10.1145/1150000/1148234/p364-bast.pdf?key1=1148234&key2=7596860711&coll=GUIDE&dl=GUIDE&CFID=13588648&CFTOKEN=49878423

Event Address*:

Seattle, USA

Language:

English

Event Date*
(no longer used):


Organization:

Association for Computing Machinery (ACM)

Event Start Date:

6 August 2006

Event End Date:

11 August 2006

Publisher

Name*:

ACM

URL:


Address*:

New York, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:


Pages:

364-371

Year*:

2006

VG Wort Pages:


ISBN/ISSN:

1-59593-369-7

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

We consider the following full-text search autocompletion feature. Imagine a user of a search engine typing a query. Then with every letter being typed, we would like an instant display of completions of the last query word which would lead to good hits. At the same time, the best hits for any of these completions should be displayed. Known indexing data structures that apply to this problem either incur large processing times for a substantial class of queries, or they use a lot of space. We present a new indexing data structure that uses no more space than a state-of-the-art compressed inverted index, but with 10 times faster query processing times. Even on the large TREC Terabyte collection, which comprises over 25 million documents, we achieve, on a single machine and with the index on disk, average response times of one tenth of a second. We have built a full-fledged, interactive search engine that realizes the proposed autocompletion feature combined with support for proximity search, semi-structured (XML) text, subword and phrase completion, and semantic tags.

URL for the Abstract:

http://portal.acm.org/citation.cfm?doid=1148170.1148234



Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Algorithms and Complexity Group

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{bastweber06sigir,
AUTHOR = {Bast, Holger and Weber, Ingmar},
EDITOR = {Efthimiadis, Efthimis N. and Dumais, Susan and Hawking, David and J{\"a}rvellin, Kalervo},
TITLE = {Type Less, Find More: Fast Autocompletion Search with a Succinct Index},
BOOKTITLE = {SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval},
PUBLISHER = {ACM},
YEAR = {2006},
ORGANIZATION = {Association for Computing Machinery (ACM)},
PAGES = {364--371},
ADDRESS = {Seattle, USA},
ISBN = {1-59593-369-7},
}


Entry last modified by Uwe Brahm, 07/18/2007
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Editor(s)
Ingmar Weber
Created
06/09/2006 11:59:52 AM
Revisions
8.
7.
6.
5.
4.
Editor(s)
Uwe Brahm
Uwe Brahm
Christine Kiesel
Christine Kiesel
Christine Kiesel
Edit Dates
2007-07-18 14:47:08
07/07/2007 00:46:30
07.02.2007 19:13:05
05.02.2007 15:55:48
09/19/2006 04:19:48 AM