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C-Rank: A Contribution-Based Ranking Approach Exploiting Links and Content

Title
C-Rank: A Contribution-Based Ranking Approach Exploiting Links and Content
Author
김상욱
Keywords
Content and link ranking; contribution based ranking; contribution constraints; C-Rank; Web information retrieval
Issue Date
2014-03
Publisher
SAGE PUBLICATIONS LTD
Citation
JOURNAL OF INFORMATION SCIENCE; DEC 2014, 40 6, p761-p778, 18p.
Abstract
This paper addresses the problem in Web page ranking of effectively combining link and content information with efficiency high enough to be applicable to real-world search engines. Unlike previous surfer models, our approach is based on the viewpoint of a Web page author. Based on this viewpoint, we formulate the concept of contribution score, which indicates the amount to which a term in each page is utilized by other pages. To improve efficiency without loss of effectiveness, we exploit the expectations of both a Web page author and a Web search engine user on retrieval results, and restrict candidate terms that can contribute to other pages to a set of keywords of each page. In this paper, we propose three contribution-based models: C-Rank, PC-Rank and HC-Rank. Experimental results show that C-Rank provides the best precision among the models and is very effective for topic distillation tasks on the .GOV collection in TREC. Most importantly, the proposed models are efficient enough to be applicable to real-world search engines.
URI
http://journals.sagepub.com/doi/abs/10.1177/0165551514545429http://hdl.handle.net/20.500.11754/51878
ISSN
0165-5515; 1741-6485
DOI
10.1177/0165551514545429
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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