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X-Site: a workplace search tool for software engineers

Published: 23 July 2007 Publication History

Abstract

Professionals in the workplace need high-precision search tools capable of retrieving information that is useful and appropriate to the task at hand. One approach to identifying content, which is not only relevant but also useful, is to make use of the task context of the search. We present X-Site, an enterprise search engine for the software engineering domain that exploits relationships between user's tasks and document genres in the collection to improve retrieval precision.

References

[1]
Freund, L., Toms, E.G. and Clarke, C.L.A., Modeling task-genre relationships for IR in the workplace. in ACM SIGIR Conference, (Salvador Brazil, 2005).
[2]
Yeung, P.C.K., Büttcher, S., Clarke, C.L.A., and Kolla, M. A Baysian approach for learning document type relevance. in ECIR, (Rome, Italy, 2007).

Cited By

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  • (2020)rScholar: An Interactive Contextual User Interface to Enhance UX of Scholarly Recommender SystemsHCI International 2020 - Late Breaking Papers: User Experience Design and Case Studies10.1007/978-3-030-60114-0_43(662-686)Online publication date: 3-Oct-2020
  • (2015)Contextualizing the information-seeking behavior of software engineersJournal of the Association for Information Science and Technology10.1002/asi.2327866:8(1594-1605)Online publication date: 1-Aug-2015
  • (2012)MinersoftACM Transactions on Internet Technology10.1145/2220352.222035412:1(1-34)Online publication date: 5-Jul-2012
  • Show More Cited By

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      cover image ACM Conferences
      SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
      July 2007
      946 pages
      ISBN:9781595935977
      DOI:10.1145/1277741
      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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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 23 July 2007

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      Author Tags

      1. contextual search
      2. enterprise search
      3. genre
      4. task

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      SIGIR07
      Sponsor:
      SIGIR07: The 30th Annual International SIGIR Conference
      July 23 - 27, 2007
      Amsterdam, The Netherlands

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

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      View all
      • (2020)rScholar: An Interactive Contextual User Interface to Enhance UX of Scholarly Recommender SystemsHCI International 2020 - Late Breaking Papers: User Experience Design and Case Studies10.1007/978-3-030-60114-0_43(662-686)Online publication date: 3-Oct-2020
      • (2015)Contextualizing the information-seeking behavior of software engineersJournal of the Association for Information Science and Technology10.1002/asi.2327866:8(1594-1605)Online publication date: 1-Aug-2015
      • (2012)MinersoftACM Transactions on Internet Technology10.1145/2220352.222035412:1(1-34)Online publication date: 5-Jul-2012
      • (2010)Cross-Testing a Genre Classification Model for the WebGenres on the Web10.1007/978-90-481-9178-9_5(87-128)Online publication date: 16-Aug-2010
      • (2009)Effective Keyword Search for Software Resources Installed in Large-Scale Grid InfrastructuresProceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2009.82(482-489)Online publication date: 15-Sep-2009

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