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WWW
2003
ACM
14 years 10 months ago
Using Top-Ranking Sentences for Web Search Result Presentation
In this poster we propose a granular approach for presenting web search results. Sentences, taken from the top documents, are used as fine-grained representations of document cont...
Ryen W. White, Joemon M. Jose, Ian Ruthven
CIKM
2008
Springer
13 years 11 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
SIGIR
2009
ACM
14 years 4 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
AIRWEB
2006
Springer
14 years 1 months ago
Web Spam Detection with Anti-Trust Rank
Spam pages on the web use various techniques to artificially achieve high rankings in search engine results. Human experts can do a good job of identifying spam pages and pages wh...
Vijay Krishnan, Rashmi Raj
BNCOD
2007
236views Database» more  BNCOD 2007»
13 years 11 months ago
Wordrank: A Method for Ranking Web Pages Based on Content Similarity
This paper presents WordRank, a new page ranking system, which exploits similarity between interconnected pages. WordRank introduces the model of the ‘biased surfer’ which is ...
Apostolos Kritikopoulos, Martha Sideri, Iraklis Va...