Feature-conscious ranking framework
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...
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sg-ntu-dr.10356-950762020-09-27T20:28:11Z Feature-conscious ranking framework Xu, Kaijian Zhang Jun School of Computer Engineering 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] 2013-01-31T09:00:01Z 2019-12-06T19:07:43Z 2013-01-31T09:00:01Z 2019-12-06T19:07:43Z 2007 2007 Student Research Poster Xu, K. (2007, March). Feature-conscious ranking framework. Presented at Discover URECA @ NTU poster exhibition and competition, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/95076 http://hdl.handle.net/10220/9058 en © 2007 The Author(s). application/pdf |
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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] |
| author2 |
Zhang Jun |
| author_facet |
Zhang Jun Xu, Kaijian |
| format |
Student Research Poster |
| author |
Xu, Kaijian |
| spellingShingle |
Xu, Kaijian Feature-conscious ranking framework |
| author_sort |
Xu, Kaijian |
| title |
Feature-conscious ranking framework |
| title_short |
Feature-conscious ranking framework |
| title_full |
Feature-conscious ranking framework |
| title_fullStr |
Feature-conscious ranking framework |
| title_full_unstemmed |
Feature-conscious ranking framework |
| title_sort |
feature-conscious ranking framework |
| publishDate |
2013 |
| url |
https://hdl.handle.net/10356/95076 http://hdl.handle.net/10220/9058 |
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1681056955059142656 |