Efficient Information Retrieval Using Document Clustering
Main Article Content
Abstract
Locating interesting information is one of the most important tasks in Information Retrieval (IR). The different IR
systems emphasize different query features when determining relevance and therefore retrieved from different sets of documents.
Clustering is an approach to improve the effectiveness of IR. In clustering, documents are clustered either before or after retrieval.
The motivation of this paper is to explain the need of clustering in retrieving efficient information that closely associates
documents which are relevant to the same query. Here IR framework has been defined which consists of four steps (1) IR system
(2) similarity measure (3) document clustering and (4) ranking of clusters. Furthermore, we present the short comings of cluster
algorithms based on the various facets of their features and functionality. Finally based on the review of the different approaches
we conclude that although clustering has been a topic for scientific community for three decades, there are still many open issues
that call for more research.
Keywords: Information Retrieval, IR System, Document Clustering, Similarity measure, Ranking
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.