政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/77972

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113656/144643 (79%)
Visitors : 51719072 Online Users : 661

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

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/77972

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/77972

Title:	Post-Modern Portfolio Theory for Information Retrieval
Authors:	Tsai, Ming-Feng;Wang, Chuan-Ju 蔡銘峰
Contributors:	資科系
Keywords:	Retrieval models;Optimization;Semivariance
Date:	2012
Issue Date:	2015-08-24 15:19:59 (UTC+8)
Abstract:	Information Retrieval (IR) aims to discover relevant information according to a user`s information need. The classic Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic IR models. This ranking principle, however, neglects the uncertainty introduced through the estimations from retrieval models. Inspired by the Post-Modern Portfolio Theory (PMPT), this paper proposes a mean-semivariance framework to handle the uncertainty. The proposed framework not only deals with the uncertainty but has the ability to distinguish bad surprises (downside uncertainty) and good surprises (upside uncertainty) when optimizing a ranking list. The experimental results shows that the proposed method improves the IR performance over the PRP baseline in terms of most of IR evaluation metrics; moreover, the results suggest that the mean-semivariance framework can further boost the top-position ranking quality.
Relation:	Procedia Computer Science, 13, 80-85
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/j.procs.2012.09.116
DOI:	10.1016/j.procs.2012.09.116
Appears in Collections:	[資訊科學系] 期刊論文

Files in This Item:

File	Description	Size	Format
80-85.pdf		333Kb	Adobe PDF2	667	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...