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Combining Multiple Evidence from Different Relevance Feedback Methods
1997
Database Systems for Advanced Applications '97
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Experimental results show that significant improvements can be obtained by the combination of multiple query vectors expanded with different relevance feedback methods. ...
We then describe the effect of combining the multiple query vectors on retrieval effectiveness. ...
Acknowledgments This work was supported in part by the NSF Center for Intelligent Information Retrieval at the University of Massachusetts at Amherst. ...
doi:10.1142/9789812819536_0044
fatcat:hfkar5l2czf23b3bjzr4ojen6m
Combining and selecting characteristics of information use
2002
Journal of the American Society for Information Science and Technology
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on combination of evidence for ad-hoc retrieval, the other based on selective combination of evidence within a relevance feedback situation. ...
The use of relevance information to guide the combination process is shown to reduce the variability inherent in combination of evidence. ...
The members of the Glasgow University Information Retrieval Group provided many helpful comments on this work. ...
doi:10.1002/asi.10046
fatcat:hwviu2kktvcxhozdckkqxi55my
Improving pseudo-relevance feedback via tweet selection
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
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To overcome the limitation of pseudo-relevance feedback for microblog search, we propose a novel query expansion method based on two-stage relevance feedback that models search interests by manual tweet ...
Pseudo-relevance feedback assumes that the top ranked documents in the initial search results are relevant and that they contain topic-related words appropriate for relevance feedback. ...
PREVIOUS METHODS OF TIME-BASED RELEVANCE FEEDBACK
Time-based Language Model for Retrieval Query likelihood model. ...
doi:10.1145/2505515.2505701
dblp:conf/cikm/MiyanishiSU13
fatcat:ynype27wp5h5lmpv2pur5p7bs4
Interactive Retrieval Based on Wikipedia Concepts
[article]
2014
arXiv
pre-print
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This paper presents a new user feedback mechanism based on Wikipedia concepts for interactive retrieval. ...
To realize this mechanism, we propose methods to address two problems: 1) how to select a small number of possibly relevant Wikipedia concepts to show the user, and 2) how to re-rank retrieved documents ...
We propose several methods that are based on different sources of evidence for measuring the relevance degree between a concept and the query. ...
arXiv:1412.8281v1
fatcat:sjoaz3orpbd5vh2seozaoyrn5e
POSTECH at NTCIR-5: Combining Evidences of Multiple Term Extractions for Mono-lingual and Cross-lingual Retrieval in Korean and Japanese
2005
NTCIR Conference on Evaluation of Information Access Technologies
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This paper describes methodologies for NTCIR-5 CLIR involving Korean and Japanese, and reports the official result as well as retrieval results using NTCIR-3 and NTCIR-4 data. ...
In offline results using NTCIR-5 data, our methodology in Korean showed the best performance by archieving 0.5680 for description queries and 0.6159 for others. ...
In pseudo relevance feedback, we use different methods according to the length of query -Model-based feedback [16] for long queries and expansion-based feedback based on likelihood ratio [12] for short ...
dblp:conf/ntcir/NaKL05
fatcat:v2d372hgpnetzjdjdd2dc5kyo4
A Combined Query Expansion Approach for Information Retrieval
1999
Genome Informatics Series
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The Local feedback method is similar to traditional relevance feedback method [2] , which modifies queries by using the result of the initial retrieval, except that the latter uses the judgment set for ...
The thesaurus expansion improves the performance of initial retrieval, so the result of the retrieval in combination with the local feedback also improves. ...
doi:10.11234/gi1990.10.292
fatcat:mdyw5zyca5a7zfttzgerpzhyc4
Empirical investigations on query modification using abductive explanations
2001
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '01
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We describe several methods of creating abductive explanations, exploring term reweighting and query reformulation techniques and demonstrate their suitability for relevance feedback. ...
In particular we use the notion of abductive explanation, explanations being a description of data that highlight important features of the data. ...
Acknowledgements This research is supported by the British Library and Information Commission funded project 'Retrieval through explanation' (http://www.dcs.gla.ac.uk/ir/projects/explanation/). ...
doi:10.1145/383952.383986
dblp:conf/sigir/RuthvenRL01
fatcat:brspwiduzzd7bfc67vaqx4xiyi
Modeling Temporal Evidence from External Collections
2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM '19
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2018 pre-print arXiv:1812.06082v1 fatcat:psah3lvy2ve6rmvbmfmjol5ycu
Second, we propose a formal retrieval model that generalizes the use of the temporal dimension across different aspects of the retrieval process. ...
In particular, we show that temporal evidence of external collections can be used to (i) infer a topic's temporal relevance, (ii) select the query expansion terms, and (iii) re-rank the final results for ...
Several time-based pseudo-relevance feedback methods were proposed for retrieval in time-sensitive collections using the relevance modeling framework. Keikha et al. ...
doi:10.1145/3289600.3290966
dblp:conf/wsdm/MartinsMC19
fatcat:mufci7jcyvcnjnwvjrknrivabe
POSTECH at NTCIR-6: Combining Evidences of Multiple Term Extractions for Mono-lingual and Cross-lingual Retrieval in Korean and Japanese
2007
NTCIR Conference on Evaluation of Information Access Technologies
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From official results, our methodology in Korean won the top in 6 subtasks of total 9 subtasks for Stage 2,and won the top in 2 subtasks of total 3 subtasks for Stage 1. ...
Even though our system is the same as the previous one, final performances from NTCIR-3 to NTCIR-5 are further improved over our previous results by slightly modifying the feedback parameters. ...
In pseudo relevance feedback, we use different methods according to the length of query: Model-based feedback [14] for long queries and expansion-based feedback based on likelihood ratio [10] for short ...
dblp:conf/ntcir/NaKLL07
fatcat:cgjyhp7na5h65engfpifpndhg4
A survey on the use of relevance feedback for information access systems
2003
Knowledge engineering review (Print)
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Relevance feedback covers a range of techniques intended to improve a user's query and facilitate retrieval of information relevant to a user's information need. ...
Users of online search engines often find it difficult to express their need for information in the form of a query. ...
We would also like to acknowledge the helpful suggestions made by the anonymous reviewer. ...
doi:10.1017/s0269888903000638
fatcat:uaenqmfjibd3hkhudvd4nj7eqa
Multimodal Markov Random Field for Image Reranking Based on Relevance Feedback
2013
ISRN Machine Vision
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This paper introduces a multimodal approach for reranking of image retrieval results based on relevance feedback. ...
The MRF takes into account (1) the rank information provided by the initial retrieval system, (2) similarities among images in the list, and (3) relevance feedback information. ...
Acknowledgments The authors are grateful to the reviewers, whose comments have helped them to improve significantly this paper. ...
doi:10.1155/2013/428746
fatcat:xiqflqdaz5cp7krfbtjlwjcv3m
Implementing relevance feedback in the Bayesian Network Retrieval model
2003
Journal of the American Society for Information Science and Technology
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In this article, we introduce several relevance feedback methods for the Bayesian Network Retrieval Model. ...
Relevance Feedback consists in automatically formulating a new query according to the relevance judgments provided by the user after evaluating a set of retrieved documents. ...
Acknowledgment This work has been supported by the Spanish Ministerio de Ciencia y Tecnologı ´a (MCYT) under Project TIC2000-1351. ...
doi:10.1002/asi.10210
fatcat:goeekvjw5bdmzlmch4toj3wtyq
Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation
[chapter]
2001
Lecture Notes in Computer Science
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In this paper we are going to introduce a relevance feedback method for the Bayesian Network Retrieval Model, founded on propagating partial evidences in the underlying Bayesian network. ...
Relevance feedback has been proven to be a very effective query modification technique that the user, by providing her/his relevance judgments to the Information Retrieval System, can use to retrieve more ...
Acknowledgments: This work has been supported by the Spanish Comisión Interministerial de Ciencia y Tecnología (CICYT) under Project TIC2000-1351. ...
doi:10.1007/3-540-44816-0_2
fatcat:qmzbbisn5zbong7gstv2iyasxe
Attention-based information retrieval
2007
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07
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Up to now, nearly all implicit feedback sources that are used for information retrieval are based on mouse and keyboard input like clickthrough, scrolling and annotation behavior. ...
First, this attention-based context will be utilized for attention-based changes concerning the index of vector-space based IR methods. ...
The Dempster-Shafer theory of evidence is a mathematical theory for the combination of separate information (evidence) sources in order to calculate the probability of an event. ...
doi:10.1145/1277741.1277987
dblp:conf/sigir/Buscher07
fatcat:mjfusxyaqfg6fky5ko4vuhhlgm
Mapping Query to Semantic Concepts: Leveraging Semantic Indices for Automatic and Interactive Video Retrieval
2007
International Conference on Semantic Computing (ICSC 2007)
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In this paper, we consider the problem of exploiting the potential of learned semantics concepts, together with the combination of traditional methods, for automatic and interactive retrieval. ...
For interactive retrieval, searching with relevant concepts plus conventional feedback methods is quite effective and is robust to initial search results. ...
For IVR, there are more chances for utilizing different concepts by updating by the feedback information and this alleviates the pressure for determining the number of relevant concepts. ...
doi:10.1109/icosc.2007.4338364
fatcat:5quu7crdbrhwnexscyldylpbqu
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