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The Linear Combination Data Fusion Method in Information Retrieval [chapter]

Shengli Wu, Yaxin Bi, Xiaoqin Zeng
2011 Lecture Notes in Computer Science  
Optimum is in the least squares sense that minimize the difference between the estimated scores of all documents by linear combination and the judged scores of those documents.  ...  In this paper, we use the multiple linear regression technique to obtain optimum weights for all involved component systems.  ...  In information retrieval, all commonly used metrics are rank-based. Therefore, efforts have been focused on how to improve rankings.  ... 
doi:10.1007/978-3-642-23091-2_20 fatcat:xkawy6fh3fdyvcni47ipx33xhm

Improving the Effectiveness of Information Retrieval with Clustering and Fusion

Jian Zhang, Jianfeng Gao, Ming Zhou, Jiaxing Wang
2001 International Journal of Computational Linguistics and Chinese Language Processing  
Fusion and clustering are two approaches to improving the effectiveness of information retrieval. In fusion, ranked lists are combined together by various means.  ...  The motivation is that different IR systems will complement each other, because they usually emphasize different query features when determining relevance and retrieve different sets of documents.  ...  Given multiple retrieval results obtained by different IR systems, we first perform clustering on each ranked list and obtain a set of clusters.  ... 
dblp:journals/ijclclp/ZhangGZW01 fatcat:pc7wyauvireg3l657zq6xedoci

MEASURING THE RELIABILITY OF RANKING IN INFORMATION RETRIEVAL SYSTEMS EVALUATION

Prabha Rajagopal, Sri Devi Ravana
2019 Malaysian Journal of Computer Science  
This study proposes a method to measure the reliability of individual retrieval systems based on their relative rankings.  ...  A reliable system is crucial in satisfying users' need, but the reliability is dependent on the varying effects of the test collection.  ...  With that, this study aims to propose a method to measure the reliability of the retrieval systems based on their rankings.  ... 
doi:10.22452/mjcs.vol32no4.1 fatcat:2kbch5n36zhydfabd7o6vakyoa

Retrieving biomedical images through content-based learning from examples using fine granularity

Hao Jiang, Songhua Xu, Francis C. M. Lau, William W. Boonn, Brent J. Liu
2012 Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications  
We performed preliminary experiments to validate our new idea for content-based image retrieval and obtained very encouraging results.  ...  The drawback of such a traditional content-based image retrieval paradigm is that the summation of imagery contents in an image tends to lead to tremendous variation from image to image.  ...  Department of Energy under Contract DE-AC05-00OR22725. The authors thank Dr. Vladimir A. Protopopescu for his helpful comments on the manuscript.  ... 
doi:10.1117/12.913765 fatcat:uhaadhvombhwncgpiyknzvxazy

A Survey on Various Optimization Techniques to Retrieve Text and Images

Anna Saro Vijendran, C. Deepa
2014 Journal of Emerging Technologies in Web Intelligence  
In this survey, various approaches for retrieving text and images using various retrieval systems, semantic search and ranking based techniques are discussed.  ...  A user's request is taken to generate a rank list based on various features of text and images, including, content, texture, shape and color.  ...  RANKING IN RETRIEVAL SYSTEMS Ranking in Information Retrieval System The information retrieved from various systems should be ranked based on the preference of the users.  ... 
doi:10.4304/jetwi.6.2.169-173 fatcat:yhri62macbe4hkfrmgsyg3ykvi

Efficiently collecting relevance information from clickthroughs for web retrieval system evaluation

Jing He, Wayne Xin Zhao, Baihan Shu, Xiaoming Li, Hongfei Yan
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
In this paper, we propose a reordering framework for efficient evaluation problem in the context of clickthrough based Web retrieval evaluation.  ...  The inferred document relevance is potentially useful in evaluating the Web retrieval systems.  ...  In the context of evaluation based on clickthrough data, we need to efficiently collect relevance information for reliably predicting a retrieval system's performance.  ... 
doi:10.1145/2009916.2009956 dblp:conf/sigir/HeZSLY11 fatcat:grryfp7u4fblzhxxsaxt4aqn3m

You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews [chapter]

Harrisen Scells, Guido Zuccon, Bevan Koopman
2020 Lecture Notes in Computer Science  
We show that, for the tasks of systematic review screening prioritisation and stopping estimation, our method significantly outperforms the state-of-the-art learning to rank and bag-ofwords-based systems  ...  Rank fusion is a relatively recent method for combining runs from multiple systems into a single ranking, and has been shown to significantly improve the ranking.  ...  estimates of relevance (i.e., the dark horse effect).  ... 
doi:10.1007/978-3-030-45439-5_27 fatcat:ntf26fzew5g2vnwqav6y2feaeq

Learning tag relevance by neighbor voting for social image retrieval

Xirong Li, Cees G.M. Snoek, Marcel Worring
2008 Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR '08  
Moreover, simulated experiments indicate that performance can be improved further by scaling up the amount of images used in the proposed neighbor voting algorithm.  ...  Preliminary experiments on one million Flickr images demonstrate the potential of the proposed algorithm.  ...  Acknowledgements This work was supported by the EC-FP6 VIDI-Video project.  ... 
doi:10.1145/1460096.1460126 dblp:conf/mir/LiSW08 fatcat:yakvk4gmuzc7jmbmbnmusjaa3i

Query Generation from Multiple Media Examples

Reede Ren, Joemon M. Jose
2009 2009 Seventh International Workshop on Content-Based Multimedia Indexing  
Two ranking functions, KL divergence and BM25, are used for relevance estimation. Experiments on Corel photo collection and TRECVid 2006 collection show the effectiveness in image/video retrieval.  ...  This approach (1) helps feature accumulation from multiple examples; (2) enables the exploration of text-based retrieval models for multimedia retrieval.  ...  Acknowledgement The research leading to this paper was supported by European Commission under contracts FP6-045032 (SEMEDIA).  ... 
doi:10.1109/cbmi.2009.13 dblp:conf/cbmi/RenJ09 fatcat:odzplt4zlfcaxpkrgxxaybc2hy

Methods for ranking information retrieval systems without relevance judgments

Shengli Wu, Fabio Crestani
2003 Proceedings of the 2003 ACM symposium on Applied computing - SAC '03  
In this paper we present some new methods of ranking information retrieval systems without relevance judgement. The common ground of these methods is using a measure we called reference count .  ...  An extensive experimentation was conducted to evaluate the effectiveness of the proposed methods using various different standards Information Retrieval evaluation measures for the ranking, like average  ...  For R-Precision, we suppose that the number of relevant documents for each query is 100 and based on that to estimate R-Precision of each retrieval system.  ... 
doi:10.1145/952532.952693 dblp:conf/sac/WuC03 fatcat:vbu3fpdv45avvlqqywd2f2e42a

Using score distributions to compare statistical significance tests for information retrieval evaluation

Javier Parapar, David E. Losada, Manuel A. Presedo‐Quindimil, Alvaro Barreiro
2019 Journal of the Association for Information Science and Technology  
In Information Retrieval, some studies have examined the validity and suitability of such tests for comparing search systems.  ...  Using Score Distributions, we model the output of multiple search systems, produce simulated search results from such models, and compare them using various significance tests.  ...  Acknowledgements This work has received financial support from the i) "Ministerio de Economía y Competitividad" of the Government of Spain and FEDER Funds under the research project TIN2015-64282-R, ii  ... 
doi:10.1002/asi.24203 fatcat:jgohta6wmvfhbm3owh4zdoq42u

Methods for ranking information retrieval systems without relevance judgments

Shengli Wu, Fabio Crestani
2003 Proceedings of the 2003 ACM symposium on Applied computing - SAC '03  
In this paper we present some new methods of ranking information retrieval systems without relevance judgement. The common ground of these methods is using a measure we called reference count .  ...  An extensive experimentation was conducted to evaluate the effectiveness of the proposed methods using various different standards Information Retrieval evaluation measures for the ranking, like average  ...  For R-Precision, we suppose that the number of relevant documents for each query is 100 and based on that to estimate R-Precision of each retrieval system.  ... 
doi:10.1145/952686.952693 fatcat:k2g55wzdaze3vprlkkj2ovozsu

Precision at K in Multilingual Information Retrieval

Pothula Sujatha, P. Dhavachelvan
2011 International Journal of Computer Applications  
One of the basic performance measures of IR systems is Precision.  ...  Experimental results demonstrate that the proposed metric is effective in systems where more than one document languages involved in the retrieval.  ...  Here, the authors stated that the interleaving experiments can identify large differences in retrieval effectiveness with much better reliability than other click-based methods.  ... 
doi:10.5120/2990-3929 fatcat:dwhgticdujaffjyeuif53fqq5u

Improving Query Quality for Transductive Learning in Learning to Rank

Xin Zhang, Zhi Cheng
2020 IEEE Access  
Query quality prediction, the task of estimating the effectiveness of a retrieval system given a search query in the absence of any feedback from the searcher [33] , has been proven to be very challenging  ...  Second, experiments on a standard dataset showed that the automatically learned features for ranking may not be sufficient to improve the effectiveness of retrieval in complex ranking models while the  ... 
doi:10.1109/access.2020.3043459 fatcat:pt6w5g7dfvgapndct7prpznmfq

Measuring the reusability of test collections

Ben Carterette, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler
2010 Proceedings of the third ACM international conference on Web search and data mining - WSDM '10  
Some of these experiments may involve systems that retrieve documents not judged during the initial construction phase, and some of these systems may be "hard" to evaluate: depending on which judgments  ...  In particular, we show that our methods can reliably estimate confidence intervals that are indicative of collection reusability.  ...  Carterette addressed reusability in terms of whether two new systems could be reliably ranked relative to each other using relevance predictions based on very small sets of judgments.  ... 
doi:10.1145/1718487.1718516 dblp:conf/wsdm/CarteretteGJM10 fatcat:k7pikwqfwjbyjnbxuspbyw5hzq
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