Article

Getting work done on the web: supporting transactional queries

Authors:

Rajasekar Krishnamurthy,

Shivakumar Vaithyanathan,

H. V. JagadishAuthors Info & Claims

SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 557 - 564

https://doi.org/10.1145/1148170.1148266

Published: 06 August 2006 Publication History

Abstract

Many searches on the web have a transactional intent. We argue that pages satisfying transactional needs can be distinguished from the more common pages that have some information and links, but cannot be used to execute a transaction. Based on this hypothesis, we provide a recipe for constructing a transaction annotator. By constructing an annotator with one corpus and then demonstrating its classification performance on another,we establish its robustness. Finally, we show experimentally that a search procedure that exploits such pre-annotation greatly outperforms traditional search for retrieving transactional pages.

References

[1]

E. Amitay et al. Web-a-where: geotagging web content. In SIGIR, 2004.]]

Digital Library

[2]

D. M. Bikel et al. An algorithm that learns what's in a name. Machine Learning, 34(1-3): 211--231, 1999.]]

Digital Library

[3]

A. Broder. A taxonomy of Web search. In SIGIR Forum, 2002.]]

Digital Library

[4]

N. Craswell et al. Effective site finding using link anchor information. In SIGIR, 2001.]]

Digital Library

[5]

A. Dillon and B. Gushrowski. Genres and the web - is the home page the first digital genre? JASIS, 51(2): 202--205, 2000.]]

Digital Library

[6]

R. Fagin et al. Searching the workplace Web. In WWW, 2003.]]

Digital Library

[7]

J. Furnkranz. Exploiting structural information for text classificatio on advances in intelligent data analysis. In IDA, 1999.]]

Digital Library

[8]

D. Hawking et al. Which search engine is best at finding online services? In WWW, 2000.]]

[9]

I.-H. Kang. Transactional query identification in web search. In AIRS, 2005.]]

Digital Library

[10]

I.-H. Kang and G. Kim. Query type classification for web document retrieval. In SIGIR, 2003.]]

Digital Library

[11]

I.-H. Kang and G. C. Kim. Integration of multiple evidences based on a query type for web search. Inf. Process. Manage., 40(3): 459--478, 2004.]]

Digital Library

[12]

B. Kessler et al. Automatic detection of text genre. In ACL, 1997.]]

Digital Library

[13]

W. Kraaij et al. The importance of prior probabilities for entry page search. In SIGIR, 2002.]]

Digital Library

[14]

U. Lee et al. Automatic identification of user goals in web search. In WWW, 2005.]]

Digital Library

[15]

H. Li et al. InfoXtract location normalization: a hybrid approach to geographic references in information extraction. In Workshop on the Analysis of Geographic References, 2003.]]

Digital Library

[16]

Lucene: http://lucene.apache.org/java/docs/.]]

[17]

D. E. Rose and D. Levinson. Understanding user goals in web search. In WWW, 2004.]]

Digital Library

[18]

T. Upstill et al. Buying bestsellers online: A case study in search & searchability. In ADCS, 2002.]]

[19]

T. Westerveld et al. Retrieving web pages using content, links, urls and anchors. In TREC, 2001.]]

[20]

Wget: http://www.gnu.org/software/wget/wget.html.]]

[21]

Wordnet: http://wordnet.princeton.edu/.]]

[22]

H. Zhu et al. Topic learning from few examples. In PKDD, 2003.]]

Cited By

Barbosa NHayes JKaushik SWang Y(2022)“Every Website Is a Puzzle!”: Facilitating Access to Common Website Features for People with Visual ImpairmentsACM Transactions on Accessible Computing10.1145/351903215:3(1-35)Online publication date: 8-Jul-2022
https://dl.acm.org/doi/10.1145/3519032
Chiticariu LDanilevsky MHo HKrishnamurthy RLi YRaghavan SReiss FVaithyanathan SZhu H(2018)Web Information ExtractionEncyclopedia of Database Systems10.1007/978-1-4614-8265-9_459(4620-4629)Online publication date: 7-Dec-2018
https://doi.org/10.1007/978-1-4614-8265-9_459
Koutrika GLin Q(2017)A Study of Web PrintACM Transactions on the Web10.1145/306833111:4(1-26)Online publication date: 25-Jul-2017
https://dl.acm.org/doi/10.1145/3068331
Show More Cited By

Index Terms

Getting work done on the web: supporting transactional queries
1. Information systems
  1. Information retrieval
    1. Document representation

Recommendations

Informational, transactional, and navigational need of information: relevance of search intention in search engine advertising
Abstract
This study investigates the impact of search query intention when evaluating and managing search engine advertising. Specifically, we study whether the performance of a search engine advertising campaign depends on the informational, transactional,...
A new approach to intranet search based on information extraction
CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management

This paper is concerned with 'intranet search'. By intranet search, we mean searching for information on an intranet within an organization. We have found that search needs on an intranet can be categorized into types, through an analysis of survey ...
Two-stage approach to named entity recognition using Wikipedia and DBpedia
IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication

In natural language understanding, extraction of named entity (NE) mentions in given text and classification of the mentions into pre-defined NE types are important processes. Most NE recognition (NER) relies on resources such as a training corpus or NE ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

August 2006

768 pages

ISBN:1595933697

DOI:10.1145/1148170

General Chair:
Efthimis N. Efthimiadis
University of Washington
,
Program Chairs:
Susan Dumais
Microsoft Research, Redmond
,
David Hawking
CSIRO ICT Centre, Canberra, Australia
,
Kalervo Järvelin,
University of Tampere, Finland

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 August 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

SIGIR06

Sponsor:

SIGIR06: The 29th Annual International SIGIR Conference

August 6 - 11, 2006

Washington, Seattle, USA

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

21
Total Citations
View Citations
636
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Barbosa NHayes JKaushik SWang Y(2022)“Every Website Is a Puzzle!”: Facilitating Access to Common Website Features for People with Visual ImpairmentsACM Transactions on Accessible Computing10.1145/351903215:3(1-35)Online publication date: 8-Jul-2022
https://dl.acm.org/doi/10.1145/3519032
Chiticariu LDanilevsky MHo HKrishnamurthy RLi YRaghavan SReiss FVaithyanathan SZhu H(2018)Web Information ExtractionEncyclopedia of Database Systems10.1007/978-1-4614-8265-9_459(4620-4629)Online publication date: 7-Dec-2018
https://doi.org/10.1007/978-1-4614-8265-9_459
Koutrika GLin Q(2017)A Study of Web PrintACM Transactions on the Web10.1145/306833111:4(1-26)Online publication date: 25-Jul-2017
https://dl.acm.org/doi/10.1145/3068331
Chiticariu LDanilevsky MHo HKrishnamurthy RLi YRaghavan SReiss FVaithyanathan SZhu H(2017)Web Information ExtractionEncyclopedia of Database Systems10.1007/978-1-4899-7993-3_459-2(1-9)Online publication date: 27-Jan-2017
https://doi.org/10.1007/978-1-4899-7993-3_459-2
Papadimitriou DKoutrika GMylopoulos JVelegrakis Y(2016)The Goal Behind the ActionACM Transactions on Database Systems10.1145/293466641:4(1-43)Online publication date: 8-Nov-2016
https://dl.acm.org/doi/10.1145/2934666
Das AMandal CReade CMehta BMamoulis NBhattacharya A(2013)Determining the user intent behind web search queries by learning from past user interactions with search resultsProceedings of the 19th International Conference on Management of Data10.5555/2694476.2694508(135-138)Online publication date: 19-Dec-2013
https://dl.acm.org/doi/10.5555/2694476.2694508
Ashkan AClarke C(2013)Impact of query intent and search context on clickthrough behavior in sponsored searchKnowledge and Information Systems10.1007/s10115-012-0485-x34:2(425-452)Online publication date: 1-Feb-2013
https://dl.acm.org/doi/10.1007/s10115-012-0485-x
Bao ZKimelfeld BLi YRaghavan SYang HChen XLebanon GWang HZaki M(2012)Gumshoe quality toolkitProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398737(2716-2718)Online publication date: 29-Oct-2012
https://dl.acm.org/doi/10.1145/2396761.2398737
Bao ZKimelfeld BLi YHersh WCallan JMaarek YSanderson M(2012)Automatic suggestion of query-rewrite rules for enterprise searchProceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval10.1145/2348283.2348363(591-600)Online publication date: 12-Aug-2012
https://dl.acm.org/doi/10.1145/2348283.2348363
Bortnikov EDonmez PKagian ALempel R(2012)Modeling transactional queries via templatesProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_2(13-24)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-28997-2_2
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents