research-article

Relevance stability in blog retrieval

Authors:

Mostafa Keikha,

Fabio CrestaniAuthors Info & Claims

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

Pages 1119 - 1123

https://doi.org/10.1145/1982185.1982432

Published: 21 March 2011 Publication History

Abstract

This paper investigates blog distillation where the goal is to rank blogs according to their recurrent relevance to the topic of the query. One of the main features of blogs is their relation to time but this important feature is under-utilized in the current blog retrieval methods. We propose a probabilistic framework to measure the stability of blogs relevance over time. We then study the effect of the proposed stability measure in the blog retrieval performance. We evaluate the proposed framework on the standard TREC Blog08 collection. The results show statistically significant improvements over state of the art models.

References

[1]

J. Arguello, J. Elsas, J. Callan, and J. Carbonell. Document representation and query expansion models for blog recommendation. In Proc. of the 2nd Intl. Conf. on Weblogs and Social Media (ICWSM), 2008.

[2]

K. Balog, M. de Rijke, and W. Weerkamp. Bloggers as experts: feed distillation using expert retrieval models. In SIGIR, pages 753--754, 2008.

Digital Library

[3]

M. Efron, D. Turnbull, and C. Ovalle. University of Texas School of Information at TREC 2007. In The 16th Text REtrieval Conference (TREC 2007) Proceedings, 2007.

[4]

J. L. Elsas, J. Arguello, J. Callan, and J. G. Carbonell. Retrieval and feedback models for blog feed search. In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pages 347--354, 2008.

Digital Library

[5]

B. Ernsting, W. Weerkamp, and M. de Rijke. Language modeling approaches to blog postand feed finding. In The 16th Text REtrieval Conference (TREC 2007) Proceedings, 2007.

[6]

R. Jones and F. Diaz. Temporal profiles of queries. ACM Trans. Inf. Syst., 25(3): 14, 2007.

Digital Library

[7]

C. Macdonald and I. Ounis. Key blog distillation: ranking aggregates. In CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management, pages 1043--1052, 2008.

Digital Library

[8]

C. Macdonald, I. Ounis, and I. Soboroff. Overview of the trec-2007 blog track. In The 16th Text REtrieval Conference (TREC 2007) Proceedings, 2007.

[9]

C. Macdonald, I. Ounis, and I. Soboroff. Overview of the TREC 2009 Blog Track. In Proceedings of TREC 2009, 2009.

[10]

G. Mishne and M. de Rijke. A study of blog search. In ECIR, pages 289--301, 2006.

Digital Library

[11]

S. Nunes, C. Ribeiro, and G. David. Feup at trec 2008 blog track: Using temporal evidence for ranking and feed distillation. In The 17th Text REtrieval Conference (TREC 2008) Proceedings, 2008.

[12]

S. Ross. Introduction to probability and statistics for engineers and scientists. Academic Press, 2009.

[13]

J. Seo and W. B. Croft. Blog site search using resource selection. In CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management, pages 1053--1062, New York, NY, USA, 2008. ACM.

Digital Library

[14]

W. Weerkamp, K. Balog, and M. de Rijke. Finding key bloggers, one post at a time. In ECAI, pages 318--322, 2008.

Digital Library

[15]

C. Zhai and J. D. Lafferty. A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst., 22(2): 179--214, 2004.

Digital Library

Cited By

de Sousa SDias TPinto A(2022)A Strategy for Identifying Specialists in Scientific Data RepositoriesMobile Networks and Applications10.1007/s11036-022-01964-027:5(1941-1951)Online publication date: 3-May-2022
https://doi.org/10.1007/s11036-022-01964-0
Zahedi MAleahmad ARahgozar MOroumchian FBozorgi A(2017)Time sensitive blog retrieval using temporal properties of queriesJournal of Information Science10.1177/016555151561858943:1(103-121)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1177/0165551515618589

Index Terms

Relevance stability in blog retrieval
1. Information systems
  1. Information retrieval

Recommendations

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, ...
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 ...
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

Information & Contributors

Information

Published In

cover image ACM Conferences

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

March 2011

1868 pages

ISBN:9781450301138

DOI:10.1145/1982185

Conference Chairs:
William Chu
Tunghai University, TaiChung, Taiwan
,
W. Eric Wong
University of Texas at Dallas, Richardson, Texas
,
Program Chairs:
Mathew J. Palakal
Indiana University Purdue University, Indianapolis
,
Chih-Cheng Hung
Southern Polytechnic State University, Marietta

Copyright © 2011 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

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 March 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SAC'11

Sponsor:

SIGAPP

SAC'11: The 2011 ACM Symposium on Applied Computing

March 21 - 24, 2011

TaiChung, Taiwan

Acceptance Rates

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
82
Total Downloads

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

Reflects downloads up to 14 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

de Sousa SDias TPinto A(2022)A Strategy for Identifying Specialists in Scientific Data RepositoriesMobile Networks and Applications10.1007/s11036-022-01964-027:5(1941-1951)Online publication date: 3-May-2022
https://doi.org/10.1007/s11036-022-01964-0
Zahedi MAleahmad ARahgozar MOroumchian FBozorgi A(2017)Time sensitive blog retrieval using temporal properties of queriesJournal of Information Science10.1177/016555151561858943:1(103-121)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1177/0165551515618589

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