政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/100311

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 110182/141115 (78%)
Visitors : 46616669 Online Users : 1302

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > Journals of NCCU > MIS review: an international journal > Journal Articles > Item 140.119/100311

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/100311

Title:	An Effective Pareto Optimality Based Fusion Technique for Information Retrieval
Authors:	Batri, Krishnan
Keywords:	Information Retrieval;Data Fusion;Meta Search;Vector Space Model;Similarity Measures;Extended Boolean Model
Date:	2013-09
Issue Date:	2016-08-16 16:11:01 (UTC+8)
Abstract:	Information Retrieval (IR) is the process of retrieving information that is relevant to the users` needs. Over the years, researchers tend to develop the best retrieval strategy, which achieves the best possible performance across all document collections. Their results indicate a pattern of tug-of-war relationship prevalent among the existing strategies, where in one strategy dominates the remaining strategies over other document collections. Data Fusion may nullify the aforesaid tug-of-war effect. It can extract the best possible performance among the participating members. Data Fusion in IR usually combines the various retrieval schemes (strategies) to enhance the overall system performance. Our proposed fusion functions assign relevance scores by considering non dependency among all participating strategies. Relevance score assignment based on the relationship between that specific document and all other documents in the corpus. The existing Comb functions treated as the baseline functions for our proposed functions. Proposed and baseline functions` performance tested among three medium size corpuses. The average precision value of functions indicates that, one of our proposed functions achieves better performance in comparison with the base line functions. The statistical analysis confirms the same.
Relation:	資管評論, 19(1), 61-80 MIS review
Data Type:	article
DOI link:	http://dx.doi.org/10.6131/MISR.2013.1901.04
DOI:	10.6131/MISR.2013.1901.04
Appears in Collections:	[MIS review: an international journal] Journal Articles

Files in This Item:

File	Size	Format
19(1)-61-80.pdf	1116Kb	Adobe PDF2	675	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...