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Clustering Information Retrieval Search Outputs
1999
unpublished
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Users are known to experience difficulties in dealing with information retrieval search outputs, especially if those outputs are above a certain size. ...
by exploiting the topicality information that resides in the output but has not been used at the retrieval stage. ...
Alternative hypothesis : Clustering search output can improve the precision of ranked retrieval by creating recognizable "relevant clusters" that include significantly higher proportions of relevant documents ...
doi:10.14236/ewic/irsg1999.9
fatcat:446kxnncvndfhnmxav3a2gbd5i
A K-Means Based Multi-level Text Clustering Algorithm for Retrieval of Research Information
2019
International Journal of Computer Applications Technology and Research
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The algorithm first clusters SQL data records that represents meta-data at the first level, then retrieves and clusters text documents representing research outputs at the second level. ...
The algorithm was tested on retrieving information in the areas of text clustering, cloud computing, banking, HIV/AIDS, food security and cancer. ...
According to
The cluster labeled Procedure: Match researchers clusters Input:User's search query; Researchers clusters Output: Relevant researchers clusters Begin Retrieve the search string minus stop ...
doi:10.7753/ijcatr0803.1003
fatcat:na4773vylbc7zoeztvgzm4cpei
Intelligent Clustering Engine Solution for Desktop Usability
2016
International Journal of Computer Applications
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The stages in SAGH are preprocessing, matrix formation, vectors, clustering, visualization, and output. ...
ICE stands for Intelligent Clustering Engine. ...
CONCLUSION Intelligent Clustering engine enhances the clustering methodology, in terms of information retrieval. ...
doi:10.5120/ijca2016911086
fatcat:r2orbszxgzaataeupr4n2ce4gm
Categorization of services for seeking information in biomedical literature: a typology for improvement of practice
2008
Briefings in Bioinformatics
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The categorization would be helpful for biologists to understand the differences in the input and output formats and the tasks they fulfil in information-retrieval activities. ...
We have examined existing web-based services for information retrieval in order to give users guidance to improve their everyday practice of literature analysis. ...
The tools that output document clusters are generally slower than search engines, due to the additional processing time for the clustering. ...
doi:10.1093/bib/bbn032
pmid:18660511
fatcat:tt5jtdj4yfg43k7dbhuhwjy26y
IMPROVING NEAREST NEIGHBOUR SEARCH IN 3D SPATIAL ACCESS METHOD
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The structure is expected to improve the retrieval of Nearest Neighbour information for 3D objects. ...
In normal practice, spatial access method structure is used during the Nearest Neighbour query execution to retrieve information from the database. ...
Thus, in this paper, we proposed the clustered hierarchical structure in order to retrieve nearest neighbour information. ...
doi:10.5194/isprs-archives-xlii-2-w1-69-2016
fatcat:3nqrrhjszjdyramsszxmf5x5ke
Web document clustering using a hybrid neural network
2004
Applied Soft Computing
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It is shown that a two-dimensional visual presentation of information on retrieved documents, instead of the traditional linear listing, can create a more user-friendly interface between a search engine ...
Clustering documents by features representative of their contents -in this case, key words and phrasesincreases the effectiveness and efficiency of the search process. ...
The document clustering and ranking technique developed by us is meant to form an intelligent interface between the typical Web search engine and the user. ...
doi:10.1016/j.asoc.2004.02.003
fatcat:wxtx7t6fgjc5jgfb5tp3kiypnq
A Hybrid Context Based Approach for Web Information Retrieval
2010
International Journal of Computer Applications
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This work proposes a hybrid approach to content clustering that combines the best of the web information retrieval methods and also uses the personal preference information of the users modeling a wide ...
There are many algorithms which have been proposed in literature mainly relying on the output of the search engines. ...
Figure 7: Significance of changes The results show that there are a number of changes in the query output and the importance of the reranking has a small but distinct improvement in the output of the search ...
doi:10.5120/1493-2010
fatcat:cm4kilsmfrartia4cfoosncz6i
Generating Text Description from Spoken Content using LDA
2016
IJARCCE
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text or lattice format, a text retrieval engine searches over the ASR output to find desired information. ...
Depends on automatic speech recognition output the algorithm will perform clustering on that content and return the expected result. ...
into text or lattice format, a text retrieval engine searches over the ASR output to find desired information. ...
doi:10.17148/ijarcce.2016.512109
fatcat:lieqpa3nrzhztcmeitl3yy2z4a
Intelligent Search for Distributed Information Sources Using Heterogeneous Neural Networks
[chapter]
2003
Lecture Notes in Computer Science
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This paper shows how heterogeneous neural networks can be used in the design of an intelligent distributed information retrieval (DIR) system. ...
But they still exist some drawbacks such as the difficulty of mathematically modeling retrieval process, the lack of adaptivity and the indiscrimination of search. ...
A unique property of the SOFM is that cluster centers aggregate geometrically within the network output layer. ...
doi:10.1007/3-540-36901-5_52
fatcat:7tohw7l6rnfzzg62dzgxbzo3tu
Application of Convolution Neural Networks in Web Search Log Mining for Effective Web Document Clustering
2022
International Journal of Information Retrieval Research
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The web search log has been the source of data for mining based on web document clustering techniques to improve the efficiency and effectiveness of information retrieval. ...
confirm the effectiveness of CNN in web search log mining for effective web document clustering. ...
These clusters can be further used for information retrieval during web search. ...
doi:10.4018/ijirr.300367
fatcat:p37htwoyovcmvnsjb4bhnuhsge
Deciphering cluster representations
2001
Information Processing & Management
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There are several recent studies that propose search output clustering as an alternative representation method to ranked output. ...
The discussion is based on ®ndings and user feedback from a user study investigating the eectiveness of search output clustering. ...
It seems that at least for some users, search output clustering is one such method that is introducing a complication into the search sessions, rather than simplifying them. ...
doi:10.1016/s0306-4573(00)00037-6
fatcat:mxn7v3oh3jgppefqbubgopgwsa
Clustering of search results using temporal attributes
2006
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06
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Clustering of search results is an important feature in many of today's information retrieval applications. ...
The notion of hit list clustering appears in Web search engines and enterprise search engines as a mechanism that allows users to further explore the coverage of a query. ...
Interestingly, there is only little work on exploiting temporal information for clustering search results. ...
doi:10.1145/1148170.1148273
dblp:conf/sigir/AlonsoG06
fatcat:e6jv6dda5fftzagigzffzb7ybi
An Effective Data Organizing Method for Vietnamese Document Retrieval
2017
ICIC Express Letters
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In this paper we present a method to search the related documents based on clustering. In this, the features are assigned weight by supporting. ...
The development of amount of the Internet information is increasing. The current search engine needs to be improved of high precision and speech as quickly as possible. ...
Therefore, data mining is hot and related field such as information retrieval, information extraction, and data clustering are concerned [1, 2] . ...
doi:10.24507/icicel.11.05.955
fatcat:lqqcmv7bl5esfmfmlybxk6rcke
Exploring the retrieval dynamics of delayed and final free recall: Further evidence for temporal-contextual search☆
2008
Journal of Memory and Language
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Retrieval dynamics in free recall were explored based on a two-stage search model that relies on temporal-contextual cues. ...
Furthermore, participants tended to cluster items based on the output position from the initial delayed free recall test. ...
not output and the search process starts again to retrieve more accurate information. ...
doi:10.1016/j.jml.2008.04.002
fatcat:e22qkpmwnvbxlgrxdfmo4goque
Output ranking methodology for document-clustering-based Boolean retrieval systems
1985
Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '85
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By performing a serial search of the documents in the specified clusters, the document-clustering-based retrieval system would be able to provide a ranked list of documents as output to the user's query ...
The procedures adapted for ranking output in document-clustering-based Boolean retrieval systems will be discussed in detail in a subsequent paper. ...
doi:10.1145/253495.253511
dblp:conf/sigir/Radecki85
fatcat:rxkzdtv5uzfplgn6zxel3upaye
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