Article

Social summarization of text feedback for online auctions and interactive presentation of the summary

Authors:

Yoshinori Hijikata,

Yukitaka Kusumura,

Shogo NishidaAuthors Info & Claims

IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces

Pages 242 - 249

https://doi.org/10.1145/1111449.1111500

Published: 29 January 2006 Publication History

Abstract

Buyers in online auctions write feedback comments to the sellers from whom the buyers have bought the items. Other bidders read them to determine which item to bid for. In this research, we aim at helping bidders by summarizing the feedback comments. Firstly, we examine feedback comments in online auctions. From the results of the examination, we propose a method called social summarization method, which uses social relationships in online auctions for summarizing feedback comments. We implement a system based on our method and evaluate its effectiveness. Finally, we propose an interactive presentation method of the summaries based on the result of the evaluation.

References

[1]

R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval ACM Press, New York, 1999.

Digital Library

[2]

S. R. Das and M. Y. Chen. Yahoo! for amazon: Sentiment extraction from small talk on the web. In Proceedings of 8th Asia Pacific Finance Association Annual Conference July 2001.

[3]

K. Dave, S. Lawrence, and D. M. Pennock. Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In Proceedings of 12th International World Wide Web Conference pages 519--528, May 2002.

Digital Library

[4]

S. Fujimura, M. Matsumura, N. Okazaki, and M. Ishizuka. Decision-making support based on reputations on bbs. In Proceedings of 17th Annual Conference of Japanese Society for Artificial Intelligence pages 2B1--05, June 2003.

[5]

V. Hatzivassiloglou and K. R. McKeown. Predicting the semantic orientation of adjectives. In Proceedings of 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the ACL pages 174--181, July 1997.

Digital Library

[6]

V. Hatzivassiloglou and J. M. Wiebe. Effects of adjective orientation and gradability on sentence subjectivity. In Proceedings of 18th International Conference on Computational Linguistics August 2000.

Digital Library

[7]

N. Kobayashi, K. Inui, Y. Matsumoto, K. Tateishi, and T. Fukushima. Collecting evaluative expressions for opinion extraction. In Proceedings of 1st International Joint Conference on Natural Language Processing pages 584--589, March 2004.

[8]

S. Morinaga, K. Yamanishi, K. Tateishi, and T. Fukushima. Mining product reputations on the web. In Proceedings of 8th ACM SIGKDD International Conference on Knowledge Discover and Data Mining pages 341--349, July 2002.

Digital Library

[9]

T. Nasukawa and J. Yi. Sentiment analysis: Capturing favorability using natural language processing. In Proceedings of 2nd International Conference on Knowledge Capture pages 70--77, October 2003.

Digital Library

[10]

C. D. Paice. Constructing literature abstracts by computer: Techniques and prospects. Infomation Processing and Management 26 (1):171--186, 1990.

Digital Library

[11]

B. Pang, L. Lee, and S. Vaithyanathan. Thumbs up? sentiment classification using machine learning techniques. In Proceedings of Conference on Empirical Methods in Natural Language Processing pages 77--86, July 2002.

Digital Library

[12]

T. Shibata and S. Yamada. Thesaurus Kodansha, Tokyo, 2002.

[13]

B. Shneiderman. The eyes have it: A task by data type taxonomy. In Proceedings of IEEE Symposium on Visual Languages 96 pages 336--343, September 1996.

Digital Library

[14]

E. Spertus. Smokey: Automatic recognition of hostile message. In Proceedings of Innovative Applications of Artificial Intelligence pages 1058--1065, July 1997.

Digital Library

[15]

P. Subasic and A. Huettner. Affect analysis of text using fuzzy semantic typing. IEEE Transaction On Fuzzy Systems Special Issue 9: 483--496, August 2001.

Digital Library

[16]

K. Tateishi, Y. Ishiguro, and T. Fukushima. Texts processing for intelligent access of information on the web. Journal of Japanese Society for Artificial Intelligence 19 (3):317--322, May 2004.

[17]

P. Turney. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In Proceedings of 40th Annual Meeting of the Association for Computational Linguistics pages 417--424, July 2002.

Digital Library

[18]

J. Wiebe, T. Wilson, and M. Bell. Identifying collocations for recognizing opinions. In Proceedings of ACL/EACL Workshop on Collocation July 2001.

[19]

K. Yamanishi and H. Li. Mining open answers in questionnaire data. IEEE Intelligent Systems 17 (5):58--63, September/October 2002.

Digital Library

[20]

J. Yi, T. Nasukawa, R. Bunescu, and W. Niblack. Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques. In Proceedings of 3rd IEEE International Conference on Data Mining pages 427--434, November 2003.

Digital Library

Cited By

Warner JPavel ANguyen TAgrawala MHartmann B(2023)SlideSpecs: Automatic and Interactive Presentation Feedback CollationProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584035(695-709)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584035
Niu H(2013)Cyber peers’ influence for adolescent consumer in decision‐making styles and online purchasing behaviorJournal of Applied Social Psychology10.1111/jasp.1208543:6(1228-1237)Online publication date: 22-May-2013
https://doi.org/10.1111/jasp.12085
TANAKA YNAKAMURA NHIJIKATA YNISHIDA S(2012)Estimating Reviewer Credibility Using Review Contents and Review HistoriesIEICE Transactions on Information and Systems10.1587/transinf.E95.D.2624E95.D:11(2624-2633)Online publication date: 2012
https://doi.org/10.1587/transinf.E95.D.2624
Show More Cited By

Index Terms

Social summarization of text feedback for online auctions and interactive presentation of the summary
1. Applied computing
  1. Document management and text processing
2. Information systems
  1. Information retrieval

Recommendations

Social summarization of text feedback for online auctions and interactive presentation of the summary

Buyers in online auctions write feedback comments to the sellers from whom they have bought the items. Other bidders read them to determine which item to bid for. In this research, we aim at helping bidders by summarizing the feedback comments. First, ...
Social summarization method for feedback comments in online auction

Online auctions provide feedback comments for sellers written by buyers. Users select which seller to buy a product from by making reference to these comments. However, these feedback comments include a lot of courtesies in addition to being vast in ...
Bundling Decisions for Selling Multiple Items in Online Auctions
Fueled by the widespread use of the internet, more and more ordinary people have now become merchandise sellers who sell their own possessions, such as antique collections and limited souvenirs, to buyers who are interested in such goods via online ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces

January 2006

392 pages

ISBN:1595932879

DOI:10.1145/1111449

General Chairs:
Ernest Edmonds
University of Technology Sydney, Australia
,
Doug Riecken
IBM Watson Research, USA
,
Program Chairs:
Cécile L. Paris
CSIRO ICT Centre, Australia
,
Candace L. Sidner
MERL, USA

Copyright © 2006 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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 January 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

IUI06

Sponsor:

IUI06: 11th International Conference on Intelligent User Interfaces

January 29 - February 1, 2006

Sydney, Australia

Acceptance Rates

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

Upcoming Conference

IUI '25

Sponsor:
sigai
sigai

30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
458
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)1

Reflects downloads up to 04 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Warner JPavel ANguyen TAgrawala MHartmann B(2023)SlideSpecs: Automatic and Interactive Presentation Feedback CollationProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584035(695-709)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584035
Niu H(2013)Cyber peers’ influence for adolescent consumer in decision‐making styles and online purchasing behaviorJournal of Applied Social Psychology10.1111/jasp.1208543:6(1228-1237)Online publication date: 22-May-2013
https://doi.org/10.1111/jasp.12085
TANAKA YNAKAMURA NHIJIKATA YNISHIDA S(2012)Estimating Reviewer Credibility Using Review Contents and Review HistoriesIEICE Transactions on Information and Systems10.1587/transinf.E95.D.2624E95.D:11(2624-2633)Online publication date: 2012
https://doi.org/10.1587/transinf.E95.D.2624
Roman NPiwek PBrito ACarvalho RFilho JGomes RGerosa MGuizzardi R(2008)Emotion and behaviour in automatic dialogue summarisationCompanion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web10.1145/1809980.1810056(304-309)Online publication date: 26-Oct-2008
https://dl.acm.org/doi/10.1145/1809980.1810056
Park JFukuhara TOhmukai ITakeda HLee SChan CPolyzotis N(2008)Web content summarization using social bookmarksProceedings of the 10th ACM workshop on Web information and data management10.1145/1458502.1458519(103-110)Online publication date: 30-Oct-2008
https://dl.acm.org/doi/10.1145/1458502.1458519
O'Donovan JSmyth BEvrim VMcLeod D(2007)Extracting and visualizing trust relationships from online auction feedback commentsProceedings of the 20th international joint conference on Artifical intelligence10.5555/1625275.1625730(2826-2831)Online publication date: 6-Jan-2007
https://dl.acm.org/doi/10.5555/1625275.1625730

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents