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Ranking using multiple document types in desktop search

Authors:

W. Bruce CroftAuthors Info & Claims

SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Pages 50 - 57

https://doi.org/10.1145/1835449.1835461

Published: 19 July 2010 Publication History

Abstract

A typical desktop environment contains many document types (email, presentations, web pages, pdfs, etc.) each with different metadata. Predicting which types of documents a user is looking for in the context of a given query is a crucial part of providing effective desktop search. The problem is similar to selecting resources in distributed IR, but there are some important differences.

In this paper, we quantify the impact of type prediction in producing a merged ranking for desktop search and introduce a new prediction method that exploits type-specific metadata. In addition, we show that type prediction performance and search effectiveness can be further enhanced by combining existing methods of type prediction using discriminative learning models. Our experiments employ pseudo-desktop collections and a human computation game for acquiring realistic and reusable queries.

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Cited By

Bhargav SSidiropoulos GKanoulas ESelcuk Candan KLiu HAkoglu LLuna Dong XTang J(2022)'It's on the tip of my tongue'Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498421(48-56)Online publication date: 11-Feb-2022
https://dl.acm.org/doi/10.1145/3488560.3498421
Jagerman RKong WPasumarthi RQin ZBendersky MNajork MLewin-Eytan LCarmel DYom-Tov EAgichtein EGabrilovich E(2021)Improving Cloud Storage Search with User ActivityProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441780(508-516)Online publication date: 8-Mar-2021
https://dl.acm.org/doi/10.1145/3437963.3441780
Arguello JChoi B(2019)The Effects of Working Memory, Perceptual Speed, and Inhibition in Aggregated SearchACM Transactions on Information Systems10.1145/332212837:3(1-34)Online publication date: 16-May-2019
https://dl.acm.org/doi/10.1145/3322128
Show More Cited By

Index Terms

Ranking using multiple document types in desktop search
1. Information systems
  1. Information retrieval

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Information & Contributors

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Published In

cover image ACM Conferences

SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

July 2010

944 pages

ISBN:9781450301534

DOI:10.1145/1835449

General Chairs:
Fabio Crestani
University of Lugano, CH
,
Stéphane Marchand-Maillet
University of Geneva, CH
,
Program Chairs:
Hsin-Hsi Chen
National Taiwan University, TW
,
Efthimis N. Efthimiadis
University of Washington, USA
,
Jacques Savoy
University of Neuchatel, CH

Copyright © 2010 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]

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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2010

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SIGIR '10

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SIGIR

SIGIR '10: The 33rd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2010

Geneva, Switzerland

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SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;

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

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Cited By

Bhargav SSidiropoulos GKanoulas ESelcuk Candan KLiu HAkoglu LLuna Dong XTang J(2022)'It's on the tip of my tongue'Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498421(48-56)Online publication date: 11-Feb-2022
https://dl.acm.org/doi/10.1145/3488560.3498421
Jagerman RKong WPasumarthi RQin ZBendersky MNajork MLewin-Eytan LCarmel DYom-Tov EAgichtein EGabrilovich E(2021)Improving Cloud Storage Search with User ActivityProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441780(508-516)Online publication date: 8-Mar-2021
https://dl.acm.org/doi/10.1145/3437963.3441780
Arguello JChoi B(2019)The Effects of Working Memory, Perceptual Speed, and Inhibition in Aggregated SearchACM Transactions on Information Systems10.1145/332212837:3(1-34)Online publication date: 16-May-2019
https://dl.acm.org/doi/10.1145/3322128
Kiesel JBahrami AStein BAnand AHagen MAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Clarifying False Memories in Voice-based SearchProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298961(331-335)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298961
Dinneen JJulien C(2019)The ubiquitous digital fileJournal of the Association for Information Science and Technology10.1002/asi.2422271:1(E1-E32)Online publication date: 4-Dec-2019
https://dl.acm.org/doi/10.1002/asi.24222
Arguello J(2017)Aggregated SearchFoundations and Trends in Information Retrieval10.1561/150000005210:5(365-502)Online publication date: 6-Mar-2017
https://dl.acm.org/doi/10.1561/1500000052
Zhou KLiu YLuo RJose JPerego RSebastiani FAslam JRuthven IZobel J(2016)HIA'16Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2917760(1241-1241)Online publication date: 7-Jul-2016
https://dl.acm.org/doi/10.1145/2911451.2917760
Kim YCallan JCulpepper JMoffat A(2016)Efficient distributed selective searchInformation Retrieval Journal10.1007/s10791-016-9290-620:3(221-252)Online publication date: 25-Nov-2016
https://doi.org/10.1007/s10791-016-9290-6
Ghansah BWu S(2015)Distributed Information Retrieval: Developments and StrategiesInternational Journal of Engineering Research in Africa10.4028/www.scientific.net/JERA.16.11016(110-144)Online publication date: Jun-2015
https://doi.org/10.4028/www.scientific.net/JERA.16.110
Zhou KLuo RHiemstra DJose JCheng XLi HGabrilovich ETang J(2015)HIA'15Proceedings of the Eighth ACM International Conference on Web Search and Data Mining10.1145/2684822.2697029(423-424)Online publication date: 2-Feb-2015
https://dl.acm.org/doi/10.1145/2684822.2697029
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