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Qtag: tagging as a means of rating, opinion-expressing, sharing and visualizing

Published: 22 October 2007 Publication History

Abstract

Collaborative tagging provides exceptional performance in the domains of IF (Information Filtering) and IR (Information Retrieval). Based on various studies regarding the tagging behavior of users, it can be concluded that there is potential for expansion of this domain to the area of ratings. The paper presents Qtag, a qualitative tagging system that allows users to tag in order to rate and express opinions using a sharable vocabulary. A conceptual model and evaluation are presented. Tag visualization model which is under-construction is also presented.

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  • (2014)ReviewCollageProceedings of the 16th international conference on Human-computer interaction with mobile devices & services10.1145/2628363.2628373(349-358)Online publication date: 23-Sep-2014
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Published In

cover image ACM Conferences
SIGDOC '07: Proceedings of the 25th annual ACM international conference on Design of communication
October 2007
286 pages
ISBN:9781595935885
DOI:10.1145/1297144
  • General Chair:
  • David Novick,
  • Program Chair:
  • Clay Spinuzzi
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: 22 October 2007

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Author Tags

  1. folksonomy
  2. qtag
  3. qualitative tagging
  4. visualization
  5. wisdom of crowd

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Overall Acceptance Rate 355 of 582 submissions, 61%

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Cited By

View all
  • (2020)Restaurant Reviews Analysis Model Based on Machine Learning Algorithms2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID)10.1109/MSIEID52046.2020.00038(169-178)Online publication date: Dec-2020
  • (2020)Robust Review Rating Prediction Model based on Machine and Deep Learning: Yelp Dataset2020 International Conference on Emerging Trends in Smart Technologies (ICETST)10.1109/ICETST49965.2020.9080713(8138-8143)Online publication date: Mar-2020
  • (2014)ReviewCollageProceedings of the 16th international conference on Human-computer interaction with mobile devices & services10.1145/2628363.2628373(349-358)Online publication date: 23-Sep-2014
  • (2014)Supporting customers' decision making with Rated TagsProceedings of the Sixteenth International Conference on Electronic Commerce10.1145/2617848.2617849(33-40)Online publication date: 5-Aug-2014
  • (2014)OdinProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2556288.2556959(1525-1534)Online publication date: 26-Apr-2014
  • (2013)EchoProceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems10.1145/2494603.2480315(313-322)Online publication date: 24-Jun-2013
  • (2013)Rated TagsProceedings of the 2013 International Conference on Cloud and Green Computing10.1109/CGC.2013.46(249-255)Online publication date: 30-Sep-2013
  • (2012)Web-Wide Application CustomizationInternational Journal of Information System Modeling and Design10.4018/jismd.20120101023:1(23-47)Online publication date: 1-Jan-2012
  • (2012)Web 2.0: Tagging UsefulnessComputational Intelligence and Decision Making10.1007/978-94-007-4722-7_31(333-343)Online publication date: 1-Aug-2012
  • (2011)Review spotlightProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1978942.1979167(1541-1550)Online publication date: 7-May-2011
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