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A goodness of fit test approach in information retrieval
2006
Information retrieval (Boston)
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In many probabilistic modeling approaches to Information Retrieval e are interested in estimating how well a document model "fits" he user's information need (query model). ...
This can be quantified by the so-called goodness of fit tests. In this paper, we present a new document ranking technique based on Chi-square goodness of fit tests. ...
In many probabilistic modeling approaches to Information Retrieval e are interested in estimating how well a document model ``fits'' he user's information need (query model). ...
doi:10.1007/s10791-006-3609-7
fatcat:qw277qavurditdqhfoakrel27y
On linear mixture of expert approaches to information retrieval
2006
Decision Support Systems
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Matching functions match the information in documents with that required by users in terms of queries to produce a set of documents to be presented to the users. ...
Knowledge intensive organizations have vast array of information contained in large document repositories. ...
There is a variety of matching functions available in the literature in information retrieval (IR). ...
doi:10.1016/j.dss.2004.11.014
fatcat:c3ppcwzjf5hp7c6fae3up6n54a
GANNET: A Machine Learning Approach to Document Retrieval
1994
Journal of Management Information Systems
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Fimess Improvement in Benchmark Testing (each line represents a different test case)
GANNET: A MACHINE LEARNING APPROACH 37
envision the proposed design being incorporated in a truly interactive retrieval ...
GANNET: A Machine Learning Approach to Document Retrieval
HSINCHUN CHEN AND JINWOO KIM
HSINCHUN CHEN received a Ph.D. in information systems from the Stern School of Business at New York University in ...
doi:10.1080/07421222.1994.11518048
fatcat:cjqkqr6d4rggpem7ckgxzwzw44
Improving web database search incorporating users query information
2011
Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11
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Due to the sheer size and volume of databases, retrieval of relevant information as needed by users has become a cumbersome process. ...
This paper proposes a ranking algorithm that gives higher preference to a user's current search and also utilizes profile information in order to obtain the relevant results for a user's query. ...
Good ranking of results as obtained from the test experiments in all such cases where users may have correctly classified their preferences for a query is a clear indicator of this approach. ...
doi:10.1145/1988688.1988754
dblp:conf/wims/RawatNL11
fatcat:uzyqwfpug5ez7msd5orsq6h3lu
Emotional Image and Musical Information Retrieval With Interactive Genetic Algorithm
2004
Proceedings of the IEEE
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It is expected that the same approach can be applied to many other problems in musical information retrieval and manipulation based on intuition and inspiration. ...
To project the usefulness of the IGA to develop emotional human-computer interfaces, we have applied it to the problems of image and music information retrieval. ...
However, there is no standard of the goodness of design, and it is almost impossible to organize the fitness function. IGA might be a solution in this case. ...
doi:10.1109/jproc.2004.825900
fatcat:klleix7jpzbz3mydoya7s4n7ri
A combined component approach for finding collection-adapted ranking functions based on genetic programming
2007
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07
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In contrast to related work, the GP terminals in our CCA are not based on simple statistical information of a document collection, but on meaningful, effective, and proven components. ...
Experimental results show that our approach was able to outperform standard TF-IDF, BM25 and another GP-based approach in two different collections. ...
[14] introduces a method of utilizing Genetic Algorithms in Information Retrieval tasks. ...
doi:10.1145/1277741.1277810
dblp:conf/sigir/AlmeidaGCC07
fatcat:4exl7chg6jc73bzb44r5cwdque
Using Genetic Algorithm To Improve Information Retrieval Systems
2008
Zenodo
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This study investigates the use of genetic algorithms in information retrieval. ...
In this paper we present a new fitness function for approximate information retrieval which is very fast and very flexible, than cosine similarity fitness function. ...
Information Retrieval Information Retrieval System (IRS), that is, a system used to store items of information that need to be processed, searched and retrieved corresponding to a user's query. ...
doi:10.5281/zenodo.1071610
fatcat:kjqgb2adfncyhaoqb577dckcwu
IR with and without GA
2013
International Journal of Applied Metaheuristic Computing
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Overall, the two suggested approaches provide a promising technique in web search domain delivering a high quality search results in terms of recall and precision. ...
The obtained results demonstrate a good level of enhancement to the recall and precision times. ...
A classical and important technique in EC is Genetic Algorithm IR with and without GA: Study the Effectiveness of the Developed Fitness Function on the Two Suggested Approaches (GA) . ...
doi:10.4018/jamc.2013010101
fatcat:witp5beuhve3zktqrc6zy5dfnq
A Detailed Study on Information Retrieval using Genetic Algorithm
2013
Journal of Industrial and Intelligent Information
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In this paper, the applicability of Genetic algorithm (GA) in the field of information retrieval and a review on how a Genetic Algorithm is applied to different problem domains in information retrieval ...
Information Retrieval (IR) deals with searching, retrieving and presenting information within the WWW and online databases and also searches the web documents. ...
The proposed information retrieval system is a two stage approach that uses genetic algorithm to obtain the set of best combination of terms in the first stage. ...
doi:10.12720/jiii.1.3.122-127
fatcat:lrzqzstlcvhuhfjs6szqh2fgra
Retrieval practice makes procedure from remembering: An automatization account of the testing effect
2018
Journal of Experimental Psychology. Learning, Memory and Cognition
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In 3 experiments, focusing on the reaction time (RT) of retrieval, we showed that RT of retrieval during retrieval practice followed a power function speed up that typically characterizes automaticity ...
More important, it was found that the measure of goodness of fit to this power function was associated with long-term recall success. ...
The measure of goodness of fit (sum of squared errors, SSE) showed a high rate of fit, SSE ϭ 0.004 ( Figure 2 ). ...
doi:10.1037/xlm0000423
pmid:28661178
fatcat:euo2e6bfmzgbfokxhufqohdkxe
Content-Based Retrieval of Cultural Relic Images in Digital Museum
[chapter]
2006
Lecture Notes in Computer Science
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As an effect approach, corresponding semantic information is adopted in many retrieval systems. However, most cultural relic retrieval systems only supply the explicit use of semantic information. ...
We also do some improvement in feature extraction and similarity measurement methods to fit the retrieval basis of unprofessional user better. ...
Our research is funded by Digital Museum of Chinese Universities and China Digital Science and Technology Museum. ...
doi:10.1007/11941354_115
fatcat:rlcvagcdcnf5fjntzu4jumk2rq
Optimal estimation reconstruction of the optical properties of a two-layered tissue phantom from time-resolved single-distance measurements
2015
Journal of Biomedical Optics
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The OE allows a priori information, in particular on the range of variation of fit parameters, to be included. ...
In this work, we have tested the optimal estimation (OE) algorithm for the reconstruction of the optical properties of a two-layered liquid tissue phantom from time-resolved single-distance measurements ...
To this end, we investigated the reduced chisquared,χ 2 ¼ ½y − Fðx;bÞ T S −1 T ½y − Fðx;bÞ∕ν (ν degrees of freedom; for y, F, and S T , see Sec. 2.1) as a test of the goodness of the fit. ...
doi:10.1117/1.jbo.20.11.115001
pmid:26524677
fatcat:sa4m6pqax5ghpd7oavl326pfi4
A review on the application of evolutionary computation to information retrieval
2003
International Journal of Approximate Reasoning
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In this contribution, different proposals found in the specialized literature for the application of evolutionary computation to the field of information retrieval will be reviewed. ...
Some of the specific existing approaches will be specifically described for some of these problems and the obtained results will be critically evaluated in order to give a clear view of the topic to the ...
Preliminaries
Information retrieval IR may be defined, in general, as the problem of the selection of documentary information from storage in response to search questions provided by a user [2] . ...
doi:10.1016/j.ijar.2003.07.010
fatcat:iyccqeqltnbbzcul5aggjbnehm
Fitting score distribution for blog opinion retrieval
2009
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09
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Our proposed score distribution fitting method markedly enhances the feasibility of a state-of-theart dictionary-based opinion retrieval approach. ...
Evaluation on a standard TREC blog test collection shows significant improvements over high quality topic relevance baselines. ...
One problem with using R-square as a measure of goodness of fitting is that it never decreases in that it adds more regressors. ...
doi:10.1145/1571941.1572079
dblp:conf/sigir/HePO09
fatcat:2mkwpmeg3fdf7nd4q5nkaosvma
Improving the Performance of Information Retrieval System using AGA in Distributed Environment
ENGLISH
2016
International Journal of Innovative Research in Computer and Communication Engineering
ENGLISH
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Information Retrieval has become a challenging area of researcher's, because there is rapid growth of computer and Internet technologies. ...
Today's era of technology and advancements, the centric issue is in focus of Data Mining, which mainly include Information Retrieval (IR) or rather it can be said as Relevant Information Retrieval. ...
The main advantage of efficiency in terms of time is also improved because of use HDFS for information retrieval. ...
doi:10.15680/ijircce.2016.0407008
fatcat:5hrgkdnalvgbbdlfbqoumz3cze
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