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Clustering Information Retrieval Search Outputs

Yasemin Kural, Steve Robertson, Susan Jones
1999 unpublished
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

Damaris Ndinda Waema, Petronilla Muriithi, George Okeyo
2019 International Journal of Computer Applications Technology and Research  
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

Prajakta Pawar, Sushopti Gawade, Sharvari Govilkar
2016 International Journal of Computer Applications  
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

J.-j. Kim, D. Rebholz-Schuhmann
2008 Briefings in Bioinformatics  
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

A. Suhaibaha, A. A. Rahman, U. Uznir, F. Anton, D. Mioc
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

M.Shamim Khan, Sebastian W Khor
2004 Applied Soft Computing  
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

W. Aisha Banu, P. Sheikh Abdul Kader
2010 International Journal of Computer Applications  
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

Sayali S. Chavan, Ramesh M. Kagalkar
2016 IJARCCE  
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]

Hui Yang, Minjie Zhang
2003 Lecture Notes in Computer Science  
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

Suruchi Chawla
2022 International Journal of Information Retrieval Research  
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

Yasemin Kural, Steve Robertson, Susan Jones
2001 Information Processing & Management  
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

Omar Alonso, Michael Gertz
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
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

Ha Nguyen Thi Thu, Linh Bui Khanh, Tinh Dao Thanh, Vinh Ho Ngoc
2017 ICIC Express Letters  
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☆

Nash Unsworth
2008 Journal of Memory and Language  
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

Tadeusz Radecki
1985 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '85  
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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