More Web Proxy on the site http://driver.im/

poster

Survival analysis for freshness in microblogging search

Authors:

Giuseppe Amodeo,

Carlo GaibissoAuthors Info & Claims

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

Pages 2483 - 2486

https://doi.org/10.1145/2396761.2398672

Published: 29 October 2012 Publication History

Abstract

Freshness of information in real-time search is central in social networks, news, blogs and micro-blogs. Nevertheless, there is not a clear experimental evidence that shows what principled approach effectively combines time and content.

We introduce a novel approach to model freshness using a survival analysis of relevance over time. In such models, freshness is measured by the tail probability of relevance over time. We also assume that the probability distributions for freshness are heavy-tailed. The heavy-tailed models of freshness are shown to be highly effective on the micro-blogging test collection of TREC 2011. The improvements over the state-of-the-art time-based models are statistically significant or moderately significant.

References

[1]

O. Alonso, M. Gertz, and R. Baeza-Yates. On the value of temporal information in information retrieval. SIGIR Forum, 41:35--41, 2007.

Digital Library

[2]

I. Arikan, S.J. Bedathur, and K. Berberich. Time will tell: Leveraging temporal expressions in IR. In WSDM (Late Breaking-Results), 2009.

[3]

Arnold, B. C. Pareto distributions. International Co-operative Publishing House, Fairland, Md., 1983.

[4]

N. Dai, M. Shokouhi, and B.D. Davison. Learning to rank for freshness and relevance. In Proc. of the 34th ACM SIGIR, pp. 95--104, 2011.

Digital Library

[5]

W. Dakka, L. Gravano, and P. G. Ipeirotis. Answering general time sensitive queries. In Proc. of the 17th ACM %Conference on Information and Knowledge Management CIKM, pp. 1437--1438. 2008.

Digital Library

[6]

A. Dong, Y. Chang, Z. Zheng, G. Mishne, J. Bai, R. Zhang, K. Buchner, C. Liao, and F. Diaz. Towards recency ranking in web search. In Proc. of the 3rd ACM WSDM, pp. 11--20, 2010.

Digital Library

[7]

A. Dong, R. Zhang, P. Kolari, J. Bai, F. Diaz, Y. Chang, Z. Zheng, and H. Zha. Time is of the essence: improving recency ranking using twitter data. In Proc. of the 19th WWW, pp. 331--340, 2010.

Digital Library

[8]

Y. Duan, L. Jiang, T. Qin, M. Zhou, and H. Shum. An empirical study on learning to rank of tweets. In Proc. of ACL COLING, pp. 295--303, 2010.

Digital Library

[9]

M. Efron and G. Golovchinsky. Estimation methods for ranking recent information. In Proc. of the 34th ACM SIGIR % conference on Research and development in Information Retrieval, pp. 495--504. 2011.

Digital Library

[10]

J.L. Elsas and S.T. Dumais. Leveraging temporal dynamics of document content in relevance ranking. In Proc. of the 3rd ACM WSDM, pp. 1--10, 2010.

Digital Library

[11]

R. Jones and F. Diaz. Temporal profiles of queries. ACM Transactions on Information Systems, 25, 2007.

Digital Library

[12]

J.P. Klein and M. L. Moeschberger. Survival analysis. Springer, 2003.

[13]

J. Lafferty and C. Zhai. Document Language Models, Query Models, and Risk Minimization for Information Retrieval. In Proc. of ACM SIGIR % conference on Research and development in Information Retrieval, pp. 111--119, 2001.

Digital Library

[14]

X. Li and W. B. Croft. Time-based language models. In Proc. of the 12th ACM CIKM, pages 469--475, 2003.

Digital Library

[15]

J. Teevan, D. Ramage, and M.R. Morris.#twittersearch: a comparison of microblog search and web search. In Proc. of the 4th ACM WSDM, pp. 35--44, 2011.

Digital Library

[16]

C. Zhai. Statistical language models for information retrieval. Foundations and Trends in Information Retrieval, 2, pp. 137--213. 2008.

Digital Library

[17]

R. Zhang, Y. Chang, Z. Zheng, D. Metzler, and J. Nie. Search result re-ranking by feedback control adjustment for time-sensitive query. In Proc. of the ACL NAACL, Companion Volume: Short Papers, pp. 165--168, 2009.

Digital Library

Cited By

Teodoro DFerdowsi SBorissov NKashani EVicente Alvarez DCopara JGouareb RNaderi NAmini P(2021)Information Retrieval in an Infodemic: The Case of COVID-19 PublicationsJournal of Medical Internet Research10.2196/3016123:9(e30161)Online publication date: 17-Sep-2021
https://doi.org/10.2196/30161
Ali FKhusro S(2021)Content and link-structure perspective of ranking webpagesComputer Science Review10.1016/j.cosrev.2021.10039740:COnline publication date: 1-May-2021
https://dl.acm.org/doi/10.1016/j.cosrev.2021.100397
Chen LShang SJensen CXu JKalnis PYao BShao L(2020)Top-k term publish/subscribe for geo-textual data streamsThe VLDB Journal10.1007/s00778-020-00607-829:5(1101-1128)Online publication date: 9-Mar-2020
https://doi.org/10.1007/s00778-020-00607-8
Show More Cited By

Index Terms

Survival analysis for freshness in microblogging search
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

Recommendations

Detecting spam blogs from blog search results

Blogging has been an emerging media for people to express themselves. However, the presence of spam blogs (also known as splogs) may reduce the value of blogs and blog search engines. Hence, splog detection has recently attracted much attention from ...
Investigation on smoothing and aggregation methods in blog retrieval
SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Recently, user generated data is growing rapidly and becoming one of the most important source of information in the web. Blogosphere (the collection of blogs on the web) is one of the main source of information in this category. In my work for my PhD, ...
Discovering Irrelevance in the Blogosphere through Blog Search
ASONAM '11: Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining

Web 2.0 technologies have given birth to the blogosphere, which is an information sharing medium by the users for the users. Furthermore, these technologies have also expanded the search problem to a new form of search known as blog search. Similar to ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

October 2012

2840 pages

ISBN:9781450311564

DOI:10.1145/2396761

General Chair:
Xuewen Chen
Wayne State University, USA
,
Program Chairs:
Guy Lebanon
Georgia Institute of Technology
,
Haixun Wang
Microsoft Research Asia
,
Mohammed J. Zaki
Rensselaer Polytechnic Institute

Copyright © 2012 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 October 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

CIKM'12

Sponsor:

CIKM'12: 21st ACM International Conference on Information and Knowledge Management

October 29 - November 2, 2012

Hawaii, Maui, USA

Acceptance Rates

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

Upcoming Conference

CIKM '25

Sponsor:
sigir
sigir

The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

Seoul , Republic of Korea

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
236
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)1

Reflects downloads up to 26 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Teodoro DFerdowsi SBorissov NKashani EVicente Alvarez DCopara JGouareb RNaderi NAmini P(2021)Information Retrieval in an Infodemic: The Case of COVID-19 PublicationsJournal of Medical Internet Research10.2196/3016123:9(e30161)Online publication date: 17-Sep-2021
https://doi.org/10.2196/30161
Ali FKhusro S(2021)Content and link-structure perspective of ranking webpagesComputer Science Review10.1016/j.cosrev.2021.10039740:COnline publication date: 1-May-2021
https://dl.acm.org/doi/10.1016/j.cosrev.2021.100397
Chen LShang SJensen CXu JKalnis PYao BShao L(2020)Top-k term publish/subscribe for geo-textual data streamsThe VLDB Journal10.1007/s00778-020-00607-829:5(1101-1128)Online publication date: 9-Mar-2020
https://doi.org/10.1007/s00778-020-00607-8
Chen LShang SZheng KKalnis P(2019)Cluster-Based Subscription Matching for Geo-Textual Data Streams2019 IEEE 35th International Conference on Data Engineering (ICDE)10.1109/ICDE.2019.00084(890-901)Online publication date: Apr-2019
https://doi.org/10.1109/ICDE.2019.00084
Chen LShang S(2019)Approximate spatio-temporal top-k publish/subscribeWorld Wide Web10.1007/s11280-018-0564-322:5(2153-2175)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s11280-018-0564-3
Chen LShang SZhang ZCao XJensen CKalnis P(2018)Location-Aware Top-k Term Publish/Subscribe2018 IEEE 34th International Conference on Data Engineering (ICDE)10.1109/ICDE.2018.00073(749-760)Online publication date: Apr-2018
https://doi.org/10.1109/ICDE.2018.00073
Zhang CChen RZhu LLiu ALin YHuang F(2018)Hierarchical information quadtree: efficient spatial temporal image search for multimedia streamMultimedia Tools and Applications10.1007/s11042-018-6284-y78:21(30561-30583)Online publication date: 11-Jul-2018
https://doi.org/10.1007/s11042-018-6284-y
Moulahi BTamine LYahia S(2016)When time meets information retrievalJournal of Information Science10.1177/016555151560727742:6(725-747)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1177/0165551515607277
Chen LCong GSellis TDavidson SIves Z(2015)Diversity-Aware Top-k Publish/Subscribe for Text StreamProceedings of the 2015 ACM SIGMOD International Conference on Management of Data10.1145/2723372.2749451(347-362)Online publication date: 27-May-2015
https://dl.acm.org/doi/10.1145/2723372.2749451
Chen LCong GCao XTan K(2015)Temporal Spatial-Keyword Top-k publish/subscribe2015 IEEE 31st International Conference on Data Engineering10.1109/ICDE.2015.7113289(255-266)Online publication date: Apr-2015
https://doi.org/10.1109/ICDE.2015.7113289
Show More Cited By

View Options

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