Article

Implicit user profiling for on demand relevance feedback

Author:

Yoshinori HijikataAuthors Info & Claims

IUI '04: Proceedings of the 9th international conference on Intelligent user interfaces

Pages 198 - 205

https://doi.org/10.1145/964442.964480

Published: 13 January 2004 Publication History

Abstract

In the area of information retrieval and information filtering, relevance feedback is a popular technique which searches similar documents based on the documents browsed by the user. If the user wants to conduct relevance feedback on demand, which means the user wants to see similar documents while reading a document, the existing user profiling techniques cannot acquire keywords in high precision that the user is interested in at such a short time. This paper proposes a method for extracting text parts which the user might be interested in from the whole text of the Web page based on the user's mouse operation in the Web browser. The objective of this research is to (1) find what kind of mouse operation represent users' interests, (2) see the effectiveness of the found mouse operation in selecting keywords, and (3) compare our method with tf-idf, which is the most fundamental method used in many user profiling systems. From the user experiment, the precision to select keywords of our method is about 1.4 times compared with that of tf-idf.

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https://doi.org/10.1109/TVCG.2023.3294958
Liu MKuznetsov AKim YChang JKittur AMyers B(2022)Wigglite: Low-cost Information Collection and TriageProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545661(1-16)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545661
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Index Terms

Implicit user profiling for on demand relevance feedback
1. Applied computing
  1. Document management and text processing
    1. Document preparation
      1. Multi / mixed media creation
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Hypertext / hypermedia

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cover image ACM Conferences

IUI '04: Proceedings of the 9th international conference on Intelligent user interfaces

January 2004

396 pages

ISBN:1581138156

DOI:10.1145/964442

Conference Chair:
Jean Vanderdonckt
University Louvain (BE)
,
Program Chairs:
Nuno Jardim Nunes
University of Madeira (PT)
,
Charles Rich
Mitsubishi Electric Research Laboratories (US)

Copyright © 2004 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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Published: 13 January 2004

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IUI-CADUI04

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IUI-CADUI04: Intelligent User Interface

January 13 - 16, 2004

Funchal, Madeira, Portugal

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IUI '04 Paper Acceptance Rate 72 of 140 submissions, 51%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

Li JLai CWang YLuo AYuan X(2024)SpectrumVA: Visual Analysis of Astronomical Spectra for Facilitating Classification InspectionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.329495830:8(5386-5403)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3294958
Liu MKuznetsov AKim YChang JKittur AMyers B(2022)Wigglite: Low-cost Information Collection and TriageProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545661(1-16)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545661
Liu MKittur AMyers B(2022)Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision MakingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501968(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501968
Blinnikova IZlokazova TGrigorovich SBurmistrov I(2020)Two-Stage Search on Web Pages: Effects of Information Organisation and Task ComplexityExperimental Psychology (Russia)Экспериментальная психология10.17759/exppsy.202013030213:3(15-30)Online publication date: 2020
https://doi.org/10.17759/exppsy.2020130302
ATABAY ECİZEL B(2020)İmleç İzleme Yöntemiyle Otel Web sitesi Ziyaretçilerinin Görsel İlgisinin AnaliziEskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi10.17494/ogusbd.76337121:1(41-58)Online publication date: 3-Jul-2020
https://doi.org/10.17494/ogusbd.763371
Collins CAndrienko NSchreck TYang JChoo JEngelke UJena ADwyer T(2018)Guidance in the human–machine analytics processVisual Informatics10.1016/j.visinf.2018.09.0032:3(166-180)Online publication date: Sep-2018
https://doi.org/10.1016/j.visinf.2018.09.003
Horwitz RKreuter FConrad F(2016)Using Mouse Movements to Predict Web Survey Response DifficultySocial Science Computer Review10.1177/089443931562636035:3(388-405)Online publication date: 21-Jan-2016
https://doi.org/10.1177/0894439315626360
Saniya Zahoor Mangesh Bedekar Vinod Mane Varad Vishwarupe (2016)Uniqueness in User Behavior While Using the WebProceedings of the International Congress on Information and Communication Technology10.1007/978-981-10-0767-5_24(221-228)Online publication date: 5-Jun-2016
https://doi.org/10.1007/978-981-10-0767-5_24
Lv YFuxman ABaeza-Yates RLalmas MMoffat ARibeiro-Neto B(2015)In Situ InsightsProceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/2766462.2767696(655-664)Online publication date: 9-Aug-2015
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Zahoor SBedekar MKosamkar P(2014)User Implicit Interest Indicators learned from the Browser on the Client SideProceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies10.1145/2677855.2677912(1-4)Online publication date: 14-Nov-2014
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