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» Maximum Margin Ranking Algorithms for Information Retrieval
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CIKM
2008
Springer
13 years 9 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...
AIRWEB
2007
Springer
14 years 1 months ago
Using Spam Farm to Boost PageRank
Nowadays web spamming has emerged to take the economic advantage of high search rankings and threatened the accuracy and fairness of those rankings. Understanding spamming techniq...
Ye Du, Yaoyun Shi, Xin Zhao
MEDES
2009
ACM
14 years 11 days ago
Web page ranking based on fuzzy and learning automata
The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned...
Zohreh Anari, Mohammad Reza Meybodi, Babak Anari
SAC
2008
ACM
13 years 7 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
WWW
2011
ACM
13 years 2 months ago
A demo search engine for products
Most product search engines today build on models of relevance devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is...
Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis