Please use this identifier to cite or link to this item:
Title: Feature-conscious ranking framework
Authors: Xu, Kaijian
Issue Date: 2007
Source: Xu, K. (2007, March). Feature-conscious ranking framework. Presented at Discover URECA @ NTU poster exhibition and competition, Nanyang Technological University, Singapore.
Abstract: The PageRank algorithm [1] for Web search ranking models the Internet as a content-agnostic link graph, and derives the importance of individual Web pages without regard to their content or other properties. Various modifications of PageRank to take Web page features into account have been proposed [2], but most variants are intended for specific applications and cannot be generalized to handle any page feature. Hence, we propose the Feature-Conscious Ranking Framework (FeatRank) as a universal framework to incorporate any generic page feature into the page ranking computation. [2nd Award]
Rights: © 2007 The Author(s).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:URECA Posters

Files in This Item:
File Description SizeFormat 
SCE06226.pdf237.73 kBAdobe PDFThumbnail

Page view(s) 10

Updated on Feb 3, 2023

Download(s) 20

Updated on Feb 3, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.