research-article

Retrieval and feedback models for blog feed search

Authors:

Jonathan L. Elsas,

Jaime Arguello,

Jaime G. CarbonellAuthors Info & Claims

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

Pages 347 - 354

https://doi.org/10.1145/1390334.1390394

Published: 20 July 2008 Publication History

Abstract

Blog feed search poses different and interesting challenges from traditional ad hoc document retrieval. The units of retrieval, the blogs, are collections of documents, the blog posts. In this work we adapt a state-of-the-art federated search model to the feed retrieval task, showing a significant improvement over algorithms based on the best performing submissions in the TREC 2007 Blog Distillation task[12]. We also show that typical query expansion techniques such as pseudo-relevance feedback using the blog corpus do not provide any significant performance improvement and in many cases dramatically hurt performance. We perform an in-depth analysis of the behavior of pseudo-relevance feedback for this task and develop a novel query expansion technique using the link structure in Wikipedia. This query expansion technique provides significant and consistent performance improvements for this task, yielding a 22% and 14% improvement in MAP over the unexpanded query for our baseline and federated algorithms respectively.

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Cited By

Shi MTang YZhu XLiu J(2020)Topic-aware Web Service Representation LearningACM Transactions on the Web10.1145/338604114:2(1-23)Online publication date: 11-Apr-2020
https://dl.acm.org/doi/10.1145/3386041
Jiang FYin GDominici F(2019)Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior DistributionsACM Transactions on Knowledge Discovery from Data10.1145/334080413:5(1-17)Online publication date: 24-Sep-2019
https://dl.acm.org/doi/10.1145/3340804
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
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Index Terms

Retrieval and feedback models for blog feed search
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment
    2. Retrieval models and ranking

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cover image ACM Conferences

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

July 2008

934 pages

ISBN:9781605581644

DOI:10.1145/1390334

General Chairs:
Tat-Seng Chua
National University of Singapore
,
Mun-Kew Leong
National Library Board, Singapore
,
Program Chairs:
Syung Hyon Myaeng
Information and Communications University, Korea
,
Douglas W. Oard
University of Maryland, College Park, USA
,
Fabrizio Sebastiani
Consiglio Nazionale delle Ricerche, Italy

Copyright © 2008 ACM.

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Published: 20 July 2008

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SIGIR '08

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SIGIR '08: The 31st Annual International ACM SIGIR Conference

July 20 - 24, 2008

Singapore, Singapore

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

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Cited By

Shi MTang YZhu XLiu J(2020)Topic-aware Web Service Representation LearningACM Transactions on the Web10.1145/338604114:2(1-23)Online publication date: 11-Apr-2020
https://dl.acm.org/doi/10.1145/3386041
Jiang FYin GDominici F(2019)Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior DistributionsACM Transactions on Knowledge Discovery from Data10.1145/334080413:5(1-17)Online publication date: 24-Sep-2019
https://dl.acm.org/doi/10.1145/3340804
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
Zhang SBalog K(2017)Design Patterns for Fusion-Based Object RetrievalAdvances in Information Retrieval10.1007/978-3-319-56608-5_66(684-690)Online publication date: 8-Apr-2017
https://doi.org/10.1007/978-3-319-56608-5_66
Helfenstein ATammela P(2016)Analyzing user-generated online content for drug discovery: development and use of MedCrawlerBioinformatics10.1093/bioinformatics/btw782(btw782)Online publication date: 22-Dec-2016
https://doi.org/10.1093/bioinformatics/btw782
Kim YCallan JCulpepper JMoffat A(2016)Efficient distributed selective searchInformation Retrieval Journal10.1007/s10791-016-9290-620:3(221-252)Online publication date: 25-Nov-2016
https://doi.org/10.1007/s10791-016-9290-6
Kawahara SSeki KUehara K(2016)Detecting Vital Documents Using Negative Relevance Feedback in Distributed Realtime Computation FrameworkComputational Linguistics10.1007/978-981-10-0515-2_14(193-208)Online publication date: 20-Feb-2016
https://doi.org/10.1007/978-981-10-0515-2_14
Chenlo JParapar JLosada DSantos J(2015)Finding a needle in the blogosphereInformation Fusion10.1016/j.inffus.2014.09.00123:C(58-68)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1016/j.inffus.2014.09.001
Liu XFang H(2015)Latent entity space: a novel retrieval approach for entity-bearing queriesInformation Retrieval Journal10.1007/s10791-015-9267-x18:6(473-503)Online publication date: 11-Sep-2015
https://doi.org/10.1007/s10791-015-9267-x
Kim SKo YOard D(2015)Combining lexical and statistical translation evidence for cross-language information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2315366:1(23-39)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1002/asi.23153
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