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IIT at TREC-8: Improving Baseline Precision

M. Catherine McCabe, David O. Holmes, Kenneth L. Alford, Abdur Chowdhury, David A. Grossman, Ophir Frieder
1999 Text Retrieval Conference  
We continued to use the relational model with unchanged SQL for retrieval.  ...  Our results show some promise for the use of automatic concepts, expansion within concepts and a high-precision first pass for relevance feedback.  ...  Army Research Lab, Aberdeen, MD for their generous support in making the small web track research possible.  ... 
dblp:conf/trec/McCabeHACGF99 fatcat:phdg62iukjhp7d64wwlwbcskuu

Using Keyqueries to Reduce Misinformation in Health-Related Search Results

Maik Fröbe, Sebastian Günther, Alexander Bondarenko, Johannes Huck, Matthias Hagen
2022 European Conference on Information Retrieval  
expanded queries for which the feedback documents are ranked as high as possible.  ...  In the scenario of health-related searches, we investigate whether explicit relevance feedback by experts can guide query expansion methods to formulate queries that return fewer misleading or wrong results  ...  Experimental Setup We describe the corpora and health-related topics used in our experiments, how we "simulate" explicit expert feedback for the query expansion, and how the retrieval models were configured  ... 
dblp:conf/ecir/FrobeGBHH22 fatcat:gxt4zabryze5vlytzxgcaqaofi

IRIS at TREC-8

Kiduk Yang, Kelly Maglaughlin
1999 Text Retrieval Conference  
Introduction We tested two relevance feedback models, an adaptive linear model and a probabilistic model, using massive feedback query expansion in TREC-5 (Sumner & Shaw, 1997) , experimented with a three-valued  ...  relevance judgement based on documents to perform the relevance feedback using the adaptive linear model.  ... 
dblp:conf/trec/YangM99 fatcat:6eavtn55dfglhizvzdp3gyrm5i

Studying Query Expansion Effectiveness [chapter]

Ben He, Iadh Ounis
2009 Lecture Notes in Computer Science  
Our results also show that the feedback documents should not only be relevant, but should also have a dedicated interest in the topic.  ...  We examine how the quality of the query, measured by the first-pass retrieval performance, is related to the effectiveness of query expansion.  ...  Acknowledgements We would like to thank Craig Macdonald for his helpful comments on the work. This work is funded by the SIMAP: Simulation modelling of the MAP kinase pathway. EC project 2006-2009.  ... 
doi:10.1007/978-3-642-00958-7_57 fatcat:y6m4aleo4zf25bi7vwa6cuq57i

Improving relevance feedback in the vector space model

Carol Lundquist, David A. Grossman, Ophir Frieder
1997 Proceedings of the sixth international conference on Information and knowledge management - CIKM '97  
Acknowledgments 'Ihis work was supported in part by matching fhnds from the National Science Foundation under the NationaI Yonng Investigator Program under contract number IRI-9357785.  ...  Ophir Frieder is currently on leave from the Department of Computer Science at George Mason University-  ...  Graph 3 illustrates that using a smaller number of feedback terms is clearly better for the short TREE-5 queries than using a larger number of feedback terms although many groups in TREC have used 50 words  ... 
doi:10.1145/266714.266844 dblp:conf/cikm/LundquistGF97 fatcat:hrxcqnb7fneifgfn5pvcl4etru

Selecting expansion terms as a set via integer linear programming

Qi Zhang, Yan Wu, Xuanjing Huang
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
The model combines the weights learned from a supervised method for individual terms, and integrates constraints to capture relations between terms.  ...  Pseudo-relevance feedback via query expansion has been widely studied from various perspectives in the past decades.  ...  For the pseudo-relevance feedback run Base-FB, which is an adaptation of Lavrenko's relevance models, a built-in model in Indri, 20 terms are extracted from the 50 top-ranked documents.  ... 
doi:10.1145/2396761.2398651 dblp:conf/cikm/ZhangWH12 fatcat:crpwlofflrekdflgmoasoycwmq

Designing States, Actions, and Rewards for Using POMDP in Session Search [chapter]

Jiyun Luo, Sicong Zhang, Xuchu Dong, Hui Yang
2015 Lecture Notes in Computer Science  
Recent efforts have been made in modeling session search using the Partially Observable Markov Decision Process (POMDP).  ...  We lay out available design options of these major components based on a variety of related work and experiment on combinations of these options over the TREC 2012 & 2013 Session datasets.  ...  Classic relevance feedback models, such as Rocchio [9] , although modeling feedbacks from the user, also treat each query in a session independently: the user feedbacks are for a particular query.  ... 
doi:10.1007/978-3-319-16354-3_58 fatcat:lnzkykgq4re3rndgaoka36ggn4

DMINR at TREC News Track

Sondess Missaoui, Andrew MacFarlane, Stephann Makri, Marisela Gutierrez-Lopez
2019 Text Retrieval Conference  
In the background linking task, we treated the problems as an adhoc search task, using Named Entities (NEs) from a set of documents identified in pseudo relevance feedback, and optimizing these using a  ...  This paper describes the use of the DMINR Named entity extraction and linking system in TREC 2019. The track entered for are: News track, involves both Background Linking and Entity Ranking.  ...  A key question for us is therefore: how to identify the focused NEs from within the pseudo-relevance feedback?  ... 
dblp:conf/trec/MissaouiMMG19 fatcat:azqxt7mdczcklbxro7kd4mstti

Query Expansion for Language Modeling Using Sentence Similarities [chapter]

Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones
2011 Lecture Notes in Computer Science  
distribution used in the LM retrieval model, helps the feedback step.  ...  standard term-based query expansion using LM selection score and the Relevance Model (RLM).  ...  Acknowledgments This research is supported by the Science Foundation Ireland (Grant 07/CE/I1142) as part of the Centre for Next Generation Localisation (CNGL) project.  ... 
doi:10.1007/978-3-642-21353-3_6 fatcat:bzyiwhshereb5ck3vmha6kppie

TREC 2013 Microblog Track Experiments at Kobe University

Taiki Miyanishi, Sayaka Kitaguchi, Kazuhiro Seki, Kuniaki Uehara
2013 Text Retrieval Conference  
The approach uses a concept-based query expansion method based on a temporal relevance model that uses the temporal variation of concepts (e.g. terms or phrases) on microblogs.  ...  Our model extends an effective existing word and concept-based relevance models by tracking the concept frequency over time in microblogging services.  ...  After tweet selection feedback, we conduct the proposed query expansion method using concept-based temporal relevance model, cTRM.  ... 
dblp:conf/trec/MiyanishiKSU13 fatcat:4tkv6wumwjexbjkruseqwzdbva

Inferring Conceptual Relationships When Ranking Patients [article]

Nut Limsopatham, Craig Macdonald, Iadh Ounis
2017 arXiv   pre-print
For example, when searching for the patients with a heart disease, medical practitioners commonly know that patients who are taking the amiodarone medicine are relevant, since this drug is used to combat  ...  Searching patients based on the relevance of their medical records is challenging because of the inherent implicit knowledge within the patients' medical records and queries.  ...  records using any pseudo-relevance feedback model (e.g.  ... 
arXiv:1702.00171v1 fatcat:bn4biir7yzg3dbxmb2736xdo6q

Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search [chapter]

Jinfeng Rao, Jimmy Lin, Miles Efron
2015 Lecture Notes in Computer Science  
In this paper, we illustrate both advantages by providing open-source implementations of lexical and temporal feedback techniques for tweet search built on the TREC Microblog API.  ...  Evaluation as a service" (EaaS) is a new methodology for community-wide evaluations where an API provides the only point of access to the collection for completing the evaluation task.  ...  Any opinions, findings, conclusions, or recommendations expressed are those of the authors and do not necessarily reflect the views of the sponsor.  ... 
doi:10.1007/978-3-319-16354-3_82 fatcat:d2mecxikwrdqxjlj5bteu75ocm

A parallel relational database management system approach to relevance feedback in information retrieval

Carol Lundquist, Ophir Frieder, David O. Holmes, David Grossman
1999 Journal of the American Society for Information Science  
Experiments using the TREC data collections are presented to validate the described approaches.  ...  By incorporating relevance feedback algorithms, accuracy was significantly enhanced over prior database-driven information retrieval efforts.  ...  The automatic relevance feedback method developed for the relational model divides the feedback process into five steps.  ... 
doi:10.1002/(sici)1097-4571(1999)50:5<413::aid-asi4>3.3.co;2-w fatcat:x5d2yj33xzf6bbhc5zhs6escyu

A parallel relational database management system approach to relevance feedback in information retrieval

Carol Lundquist, Ophir Frieder, David O. Holmes, David Grossman
1999 Journal of the American Society for Information Science  
Experiments using the TREC data collections are presented to validate the described approaches.  ...  By incorporating relevance feedback algorithms, accuracy was significantly enhanced over prior database-driven information retrieval efforts.  ...  The automatic relevance feedback method developed for the relational model divides the feedback process into five steps.  ... 
doi:10.1002/(sici)1097-4571(1999)50:5<413::aid-asi4>3.0.co;2-4 fatcat:6ajccbsorveejfeoz2pq25zisi

Temporal models for microblogs

Jaeho Choi, W. Bruce Croft
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
We then use these time periods for query expansion in a pseudo-relevance feedback setting.  ...  The experimental results based on the TREC Microblog collection show that our method for selecting periods for query expansion improves retrieval performance compared to another approach.  ...  Keikha et al. proposed a time-based relevance model [7] for blog feed retrieval, which uses the P(t|Q) introduced in [3] as a weight of the terms in the pseudo-relevance feedback setting.  ... 
doi:10.1145/2396761.2398674 dblp:conf/cikm/ChoiC12 fatcat:w4v2zrnbeng6vaghojjnqhwwmu
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