Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicine

2018 ◽  
pp. 52-63 ◽  
Author(s):  
Athanasios Lagopoulos ◽  
Antonios Anagnostou ◽  
Adamantios Minas ◽  
Grigorios Tsoumakas
Keyword(s):  
Relevance Feedback ◽  
Learning To Rank

scholarly journals Your Relevance Feedback Is Essential: Enhancing the Learning to Rank Using the Virtual Feature Based Logistic Regression

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e50112 ◽  
Author(s):  
Fei Cai ◽  
Deke Guo ◽  
Honghui Chen ◽  
Zhen Shu
Keyword(s):  
Logistic Regression ◽  
Relevance Feedback ◽  
Learning To Rank ◽  
Feature Based

tudi Kelayakan dan Perancangan Aplikasi Pencarian Buku pada Katalog Perpustakaan Menggunakan Rocchio Relevance Feedback

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Albert Albert ◽  
Marcel Bonar Kristanda ◽  
Seng Hansun
Keyword(s):  
Relevance Feedback ◽  
Mobile Application ◽  
Library Catalog ◽  
Feedback Method ◽  
Relevant Calculation

A catalog is a register of all bibliographic items found in a library. A bibliographic item can be any information entity. The library catalog has evolved from manual, website based catalog to mobile catalog. Unfortunately, there are still many obstacles in the results of library catalog search, including the relevant results of documents based on input from the user. The purpose of this research is to make the library catalog based on mobile application in android using relevant calculation used rocchio relevance feedback method. Terms— android, library, library catalog, mobile, rocchio.

Rancang Bangun Aplikasi UMN Library Catalog Menggunakan Metode Rocchio Relevance Feedback

2018 ◽  
Vol 9 (1) ◽  
pp. 9-17
Author(s):  
Marcel Bonar Kristanda ◽  
Seng Hansun ◽  
Albert Albert
Keyword(s):  
Information System ◽  
User Experience ◽  
Relevance Feedback ◽  
Android Application ◽  
Library Catalog ◽  
Relevant Result ◽  
User Query ◽  
Index Terms ◽  
Feedback Method ◽  
F Measure

Library catalog is a documentation or list of all library collections. Unfortunately, there is a problem identified in the process of searching a book inside library catalog in Universitas Multimedia Nusantara’s library information system regarding the relevant result based on user query input. This research aims to design and build a library catalog application on Android platform in order to increase the relvancy of searching result in a database using calculated Rocchio Relevance Feedback method along with user experience measurement. User experience analysis result presented a good respond with 91.18% score based by all factor and relevance value present 71.43% precision, 100% recall, and 83.33% F-Measure. Differences of relevant results between the Senayan Library Information system (SLiMS) and the new Android application ranged at 36.11%. Therefore, this Android application proved to give relevant result based on relevance rank. Index Terms—Rocchio, Relevance, Feedback, Pencarian, Buku, Aplikasi, Android, Perpustakaan.

Bayesian Probability Model Based on Region and Relevance Feedback

2011 ◽  
Vol 30 (4) ◽  
pp. 937-940
Author(s):  
Yu-feng Zhao ◽  
Yao Zhao ◽  
Zhen-feng Zhu
Keyword(s):  
Relevance Feedback ◽  
Probability Model ◽  
Bayesian Probability ◽  
Model Based

Learning to Rank an Assortment of Products

2019 ◽  
Author(s):  
Kris Ferreira ◽  
Sunanda Parthasarathy ◽  
Shreyas Sekar
Keyword(s):  
Learning To Rank
Sign in / Sign up

Export Citation Format

Share Document