Boosting item keyword search with spreading activation

Dipti Aswath, Syed Toufeeq Ahmed, James D'Cunha, Hasan Davulcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Most keyword search engines return directly matching keyword phrases. However, publishers cannot anticipate all possible ways in which users would search for the items in their documents. In fact, many times, there may be no direct keyword match between a keyword search phrase and descriptions of relevant items that are perfect matches for the search. We present an automated, high precision-based information retrieval solution to boost item find-ability by bridging the semantic gap between item information and popular keyword search phrases. Our solution achieves an average of 80% F-measure for various boosted matches for keyword search phrases in various categories.

Original languageEnglish (US)
Title of host publicationProceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Pages704-707
Number of pages4
Volume2005
DOIs
StatePublished - 2005
Event2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005 - Compiegne Cedex, France
Duration: Sep 19 2005Sep 22 2005

Other

Other2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005
CountryFrance
CityCompiegne Cedex,
Period9/19/059/22/05

Fingerprint

Search engines
Information retrieval
Chemical activation
Semantics

Keywords

  • Data Mining
  • E-commerce
  • Information Extraction
  • Information Retrieval
  • Spreading Activation
  • Support Vector Machines
  • Web Data

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Aswath, D., Ahmed, S. T., D'Cunha, J., & Davulcu, H. (2005). Boosting item keyword search with spreading activation. In Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005 (Vol. 2005, pp. 704-707). [1517938] https://doi.org/10.1109/WI.2005.44

Boosting item keyword search with spreading activation. / Aswath, Dipti; Ahmed, Syed Toufeeq; D'Cunha, James; Davulcu, Hasan.

Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. Vol. 2005 2005. p. 704-707 1517938.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Aswath, D, Ahmed, ST, D'Cunha, J & Davulcu, H 2005, Boosting item keyword search with spreading activation. in Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. vol. 2005, 1517938, pp. 704-707, 2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005, Compiegne Cedex, France, 9/19/05. https://doi.org/10.1109/WI.2005.44
Aswath D, Ahmed ST, D'Cunha J, Davulcu H. Boosting item keyword search with spreading activation. In Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. Vol. 2005. 2005. p. 704-707. 1517938 https://doi.org/10.1109/WI.2005.44
Aswath, Dipti ; Ahmed, Syed Toufeeq ; D'Cunha, James ; Davulcu, Hasan. / Boosting item keyword search with spreading activation. Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. Vol. 2005 2005. pp. 704-707
@inproceedings{261b84b5886a4cfd99531b9d814d67c3,
title = "Boosting item keyword search with spreading activation",
abstract = "Most keyword search engines return directly matching keyword phrases. However, publishers cannot anticipate all possible ways in which users would search for the items in their documents. In fact, many times, there may be no direct keyword match between a keyword search phrase and descriptions of relevant items that are perfect matches for the search. We present an automated, high precision-based information retrieval solution to boost item find-ability by bridging the semantic gap between item information and popular keyword search phrases. Our solution achieves an average of 80{\%} F-measure for various boosted matches for keyword search phrases in various categories.",
keywords = "Data Mining, E-commerce, Information Extraction, Information Retrieval, Spreading Activation, Support Vector Machines, Web Data",
author = "Dipti Aswath and Ahmed, {Syed Toufeeq} and James D'Cunha and Hasan Davulcu",
year = "2005",
doi = "10.1109/WI.2005.44",
language = "English (US)",
isbn = "076952415X",
volume = "2005",
pages = "704--707",
booktitle = "Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005",

}

TY - GEN

T1 - Boosting item keyword search with spreading activation

AU - Aswath, Dipti

AU - Ahmed, Syed Toufeeq

AU - D'Cunha, James

AU - Davulcu, Hasan

PY - 2005

Y1 - 2005

N2 - Most keyword search engines return directly matching keyword phrases. However, publishers cannot anticipate all possible ways in which users would search for the items in their documents. In fact, many times, there may be no direct keyword match between a keyword search phrase and descriptions of relevant items that are perfect matches for the search. We present an automated, high precision-based information retrieval solution to boost item find-ability by bridging the semantic gap between item information and popular keyword search phrases. Our solution achieves an average of 80% F-measure for various boosted matches for keyword search phrases in various categories.

AB - Most keyword search engines return directly matching keyword phrases. However, publishers cannot anticipate all possible ways in which users would search for the items in their documents. In fact, many times, there may be no direct keyword match between a keyword search phrase and descriptions of relevant items that are perfect matches for the search. We present an automated, high precision-based information retrieval solution to boost item find-ability by bridging the semantic gap between item information and popular keyword search phrases. Our solution achieves an average of 80% F-measure for various boosted matches for keyword search phrases in various categories.

KW - Data Mining

KW - E-commerce

KW - Information Extraction

KW - Information Retrieval

KW - Spreading Activation

KW - Support Vector Machines

KW - Web Data

UR - http://www.scopus.com/inward/record.url?scp=33748864620&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33748864620&partnerID=8YFLogxK

U2 - 10.1109/WI.2005.44

DO - 10.1109/WI.2005.44

M3 - Conference contribution

AN - SCOPUS:33748864620

SN - 076952415X

SN - 9780769524153

VL - 2005

SP - 704

EP - 707

BT - Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005

ER -