short-paper

Evolution of Information Needs based on Life Event Experiences with Topic Transition

Authors:

Naoto Takeda,

Yohei Seki,

Mimpei Morishita,

Yoichi InagakiAuthors Info & Claims

SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

Pages 1009 - 1012

https://doi.org/10.1145/3077136.3080703

Published: 07 August 2017 Publication History

Get Access

Abstract

We propose a method to clarify the evolution of users' information needs related to a user's interests and actions based upon life events such as "childbirth." First, we extract topic transitions using dynamic topic models from blogs posted by users who have experienced life events. Next, we select the topics by computing the differences in topic probabilities before and after the life event. We evaluated our method based on three life events: "childbirth," "finding employment," and "marriage." Our method selected life event-relevant topics such as "child development," "working life," and "wedding ceremony." We found mothers' information needs such as "how to introduce baby food," employees' information needs such as "preparing an induction programme," and couples' information needs such as "wedding reception planning" in each topic.

References

[1]

David M. Blei and John D. Lafferty. 2006. Dynamic Topic Models. In Proc. of the 23rd Int'l Conf. on Machine Learning (ICML 2006). Pittsburgh, PA, USA, 113--120.

Digital Library

Google Scholar

[2]

David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research Vol. 3 (2003), 993--1022.

Digital Library

Google Scholar

[3]

Moira Burke and Robert Kraut. 2013. Using Facebook after Losing a Job: Differential Benefits of Strong and Weak Ties. Proc. of the 2013 Conf. on Computer Supported Cooperative Work (CSCW 2013). San Antonio, TX, USA, 1419--1430.

Digital Library

Google Scholar

[4]

Munmun De Choudhury and Micheal Massimi. 2015. "She said yes!" Liminality and Engagement Announcements on Twitter. Proc. of iConference 2015. Newport Beach, CA, USA, 1--13.

Google Scholar

[5]

Nattiya Kanhabua, Tu Ngoc Nguyen, and Wolfgang Nejdl. 2015. Learning to Detect Event-Related Queries for Web Search. Proc. of the 24th Int'l Conf. on World Wide Web (WWW 2015). Florence, Italy, 1339--1344.

Digital Library

Google Scholar

[6]

Hao Zhang, Gunhee Kim, and Eric P. Xing. 2015. Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data. Proc. of the 21th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2015). Sydney, Australia, 1425--1434.

Digital Library

Google Scholar

Cited By

View all

Keller JBreuer TSchaer POosterhuis HBast HXiong C(2024)Evaluation of Temporal Change in IR Test CollectionsProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672530(3-13)Online publication date: 2-Aug-2024
https://dl.acm.org/doi/10.1145/3664190.3672530

Index Terms

Evolution of Information Needs based on Life Event Experiences with Topic Transition
1. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Environment-specific retrieval
        Web and social media search

Recommendations

Health information needs and seeking behaviors among Korean mothers of young children in the United States
ASIST '15: Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community

Previous studies have noted mothers' roles as active health information seekers, health managers, and caregivers for their family members. However, little is known about health information needs and seeking behaviors among Korean mothers of young ...
Topic and Opinion Classification Based Information Credibility Analysis on Twitter
SMC '13: Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics

At the Great Eastern Japan Earthquake in 2011, a huge amount of information about the disaster were exchanged on Twitter. On the other hand, various false information and rumor were also spread on Twitter. Therefore, it is required that people easily ...
Topic analysis for topic-focused multi-document summarization
CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

Topic-focused multi-document summarization has been a challenging task because the created summary is required to be biased to the given topic or query. Existing methods consider the given topic as a single coarse unit and then directly incorporate the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

August 2017

1476 pages

ISBN:9781450350228

DOI:10.1145/3077136

General Chairs:
Noriko Kando
National Institute of Informatics
,
Tetsuya Sakai
Waseda University
,
Hideo Joho
University of Tsukuba
,
Program Chairs:
Hang Li
Huawei Noah's Ark Lab
,
Arjen P. de Vries
Radboud University
,
Ryen W. White
Microsoft Cortana

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 August 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Funding Sources

JSPS Grant-in-Aid for Scientific Research (B)
ACM SIGIR Student Travel Grant

Conference

SIGIR '17

Sponsor:

SIGIR

SIGIR '17: The 40th International ACM SIGIR conference on research and development in Information Retrieval

August 7 - 11, 2017

Tokyo, Shinjuku, Japan

Acceptance Rates

SIGIR '17 Paper Acceptance Rate 78 of 362 submissions, 22%;

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

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
239
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)0

Reflects downloads up to 14 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Keller JBreuer TSchaer POosterhuis HBast HXiong C(2024)Evaluation of Temporal Change in IR Test CollectionsProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672530(3-13)Online publication date: 2-Aug-2024
https://dl.acm.org/doi/10.1145/3664190.3672530

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.

Cited By

Index Terms

Recommendations

Health information needs and seeking behaviors among Korean mothers of young children in the United States

Topic and Opinion Classification Based Information Credibility Analysis on Twitter

Topic analysis for topic-focused multi-document summarization