skip to main content
10.1145/1242572.1242575acmconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
Article

Open user profiles for adaptive news systems: help or harm?

Published: 08 May 2007 Publication History

Abstract

Over the last five years, a range of projects have focused on progressively more elaborated techniques for adaptive news delivery. However, the adaptation process in these systems has become more complicated and thus less transparent to the users. In this paper, we concentrate on the application of open user models in adding transparency and controllability to adaptive news systems. We present a personalized news system, YourNews, which allows users to view and edit their interest profiles, and report a user study on the system. Our results confirm that users prefer transparency and control in their systems, and generate more trust to such systems. However, similar to previous studies, our study demonstrate that this ability to edit user profiles may also harm the system.s performance and has to be used with caution.

References

[1]
Ardissono, L., Console, L., and Torre, I. An adaptive system for the personalised access to news. AI Communications, 14 (2001), 129--147.
[2]
Baudisch, P. and Brueckner, L. TV Scout: Lowering the entry barrier to personalized TV program recommendation. In: P. De Bra, P. Brusilovsky and R. Conejo (eds.) Proceedings of 2nd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH'2002), Málaga, Spain, May 29--31, 2002, pp. 58--68.
[3]
Billsus, D. and Pazzani, M. Adaptive news access. In: Brusilovsky, P., Kobsa, A. and Nejdl, W. (eds.): The Adaptive Web: Methods and Strategies of Web Personalization. Springer, Berlin, 2007.
[4]
Billsus, D. and Pazzani, M.J. User modeling for adaptive news access. User Modeling and User Adapted Interaction, 10, 2--3 (2000), 147--180.
[5]
Bull, S. Supporting learning with open learner models. In: Proc. of 4th Hellenic Conference on Information and Communication Technologies in Education, (Athens, Greece, September 29 -- October 3, 2004), 47--61.
[6]
Chen, C., Chen, M., and Sun, Y. PVA: A self-adaptive Personal View Agent. Journal of Intelligent Information Systems, 18, 2--3 (2002), 173--194.
[7]
Conlan, O., O'Keeffe, I., and Tallon, S. Combining adaptive hypermedia techniques and ontology reasoning to produce dynamic personalized news services. In: Wade, V., Ashman, H. and Smyth, B. (eds.) Proc. of 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH'2006), (Dublin, Ireland, June, 2006), Springer, 81--90.
[8]
Díaz, A. and Gervás, P. Personalisation in news delivery systems: Item summarization and multitier item selection using relevance feedback. Web Intelligence and Agent Systems, 3, 3 (2005), 135--154.
[9]
Gabrilovich, E., Dumais, S., and Horvitz, E. (2004) Newsjunkie: providing personalized newsfeeds via analysis of information novelty. In: Proceedings of 13th international conference on World Wide Web (WWW'2004) New York, USA, ACM, pp. 482--490.
[10]
Gauch, S., Speretta, M., Chandramouli, A., and Micarelli, A. User profiles for personalized information access. In: Brusilovsky, P., Kobsa, A. and Neidl, W. (eds.): The Adaptive Web: Methods and Strategies of Web Personalization. Springer, Berlin, 2007, in press.
[11]
He, D., Oard, D.W., and Plettenberg, L. Studying the Use of Interactive Multilingual Information Retrieval. In: Proc. of Workshop on New Directions of Multilingual Information Access at SIGIR 2006.
[12]
He, D., Oard, D.W., Wang, J., et. al., A. Making MIRACLEs: Interactive Translingual Search for Cebuano and Hindi. ACM Transactions of Asian Language Information Processing, 2, 3 (2003), 219--244.
[13]
Jokela, S., Turnpeinen, M., Kurki, T., Savia, E., and Sulonen, R. The Role of Structured Content in a Personalised News Service. In: Proc. of 34th Hawaii International Conference on System Sciences, 2001, 1--10.
[14]
Kay, J. Scrutable adaptation: Because we can and must. In: Wade, V., Ashman, H. and Smyth, B. (eds.) Proc. of 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006), (Dublin, Ireland, June 21--23, 2006), Springer Verlag, 11--19.
[15]
Koenemann, J. and Belkin, N.J., A case for Interaction: A Study of Interactive Information Retrieval Behavior and Effectiveness. in Proceedings of CHI '96, 1996, 205--212.
[16]
Krovetz, R. Viewing Morphology as an Inference Process. In: Proc. of ACM SIGIR'93, 191--203.
[17]
Magnini, B. and Strapparava, C. User modeling for news Web sites with word sense based techniques. User Modeling and User Adapted Interaction, 14, 239--257 (2004).
[18]
Porter, M.F. An algorithm for suffix stripping. Program, 14, 3 (1980), 130--137.
[19]
Salton, G. (ed.) The SMART retrieval system: experiments in automatic document processing. Prentice-Hall, Englewood Cliffs, NJ, 1971.
[20]
Salton, G. and Buckley, C. Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41 (4). 288--297. 1971.
[21]
Waern, A. User involvement in automatic filtering -- an experimental study. User Modeling and User Adapted Interaction, 14, 201--237 (2004).
[22]
White, R.W. and Marchionini, G. Examining the Effectiveness of Real-Time Query Expansion. Information Processing and Management. 2006.

Cited By

View all
  • (2024)Where Are the Values? A Systematic Literature Review on News Recommender SystemsACM Transactions on Recommender Systems10.1145/36548052:3(1-40)Online publication date: 28-Mar-2024
  • (2024)Managing the Future: Route Planning Influence Evaluation in Transportation Systems2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00347(4558-4572)Online publication date: 13-May-2024
  • (2024)A Novel Deep Learning Approach Toward Efficient and Accurate Recommendation Using Improved Alternating Least Squares in Social MediaJournal of The Institution of Engineers (India): Series B10.1007/s40031-024-00999-z105:3(657-675)Online publication date: 6-Feb-2024
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WWW '07: Proceedings of the 16th international conference on World Wide Web
May 2007
1382 pages
ISBN:9781595936547
DOI:10.1145/1242572
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: 08 May 2007

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. control
  2. news personalization
  3. open user model
  4. trust
  5. user profile

Qualifiers

  • Article

Conference

WWW'07
Sponsor:
WWW'07: 16th International World Wide Web Conference
May 8 - 12, 2007
Alberta, Banff, Canada

Acceptance Rates

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)25
  • Downloads (Last 6 weeks)1
Reflects downloads up to 13 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Where Are the Values? A Systematic Literature Review on News Recommender SystemsACM Transactions on Recommender Systems10.1145/36548052:3(1-40)Online publication date: 28-Mar-2024
  • (2024)Managing the Future: Route Planning Influence Evaluation in Transportation Systems2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00347(4558-4572)Online publication date: 13-May-2024
  • (2024)A Novel Deep Learning Approach Toward Efficient and Accurate Recommendation Using Improved Alternating Least Squares in Social MediaJournal of The Institution of Engineers (India): Series B10.1007/s40031-024-00999-z105:3(657-675)Online publication date: 6-Feb-2024
  • (2023)LIMEADE: From AI Explanations to Advice TakingACM Transactions on Interactive Intelligent Systems10.1145/358934513:4(1-29)Online publication date: 28-Mar-2023
  • (2023)Challenges and Solutions in Large-Scale News RecommendersHighlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection10.1007/978-3-031-37593-4_14(170-181)Online publication date: 8-Jul-2023
  • (2023)Multichannel Consumer Service Integration of Recommendation SystemsCustomer Centric Support Services in the Digital Age10.1007/978-3-031-37097-7_6(101-129)Online publication date: 31-Dec-2023
  • (2022)Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design ApproachMultimodal Technologies and Interaction10.3390/mti60600426:6(42)Online publication date: 30-May-2022
  • (2022)Semantic Knowledge Graphs for the News: A ReviewACM Computing Surveys10.1145/354350855:7(1-38)Online publication date: 15-Dec-2022
  • (2022)Mining Web User Behavior: A Systematic Mapping StudyComputational Science and Its Applications – ICCSA 2022 Workshops10.1007/978-3-031-10536-4_44(667-683)Online publication date: 4-Jul-2022
  • (2021)A Review of Text-Based Recommendation SystemsIEEE Access10.1109/ACCESS.2021.30593129(31638-31661)Online publication date: 2021
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media