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Combining Multiple Evidence from Different Relevance Feedback Methods

Joon Ho Lee
1997 Database Systems for Advanced Applications '97  
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

Ian Ruthven, Mounia Lalmas, Keith van Rijsbergen
2002 Journal of the American Society for Information Science and Technology  
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

Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
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]

Lanbo Zhang
2014 arXiv   pre-print
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

Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee
2005 NTCIR Conference on Evaluation of Information Access Technologies  
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

Hisao Imai, Nigel Collier, Jun'ichi Tsujii
1999 Genome Informatics Series  
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

Ian Rithven, Mounia Lalmas, Keith van Rijsbergen
2001 Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '01  
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

Flávio Martins, João Magalhães, Jamie Callan
2019 Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM '19  
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

Seung-Hoon Na, Jungi Kim, Yeha Lee, Jong-Hyeok Lee
2007 NTCIR Conference on Evaluation of Information Access Technologies  
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

IAN RUTHVEN, MOUNIA LALMAS
2003 Knowledge engineering review (Print)  
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

Ricardo Omar Chávez, Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar
2013 ISRN Machine Vision  
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

Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete
2003 Journal of the American Society for Information Science and Technology  
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]

Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete
2001 Lecture Notes in Computer Science  
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

Georg Buscher
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
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

Dong Wang, Zhikun Wang, Xirong Li, Xiaobing Liu, Jianmin Li, Bo Zhang
2007 International Conference on Semantic Computing (ICSC 2007)  
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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