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ACMICEC
2007
ACM
168views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Designing novel review ranking systems: predicting the usefulness and impact of reviews
With the rapid growth of the Internet, users' ability to publish content has created active electronic communities that provide a wealth of product information. Consumers nat...
Anindya Ghose, Panagiotis G. Ipeirotis
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
WWW
2003
ACM
14 years 8 months ago
Extrapolation methods for accelerating PageRank computations
We present a novel algorithm for the fast computation of PageRank, a hyperlink-based estimate of the "importance" of Web pages. The original PageRank algorithm uses the ...
Sepandar D. Kamvar, Taher H. Haveliwala, Christoph...
SIGIR
2010
ACM
13 years 7 months ago
Predicting escalations of medical queries based on web page structure and content
Logs of users' searches on Web health topics can exhibit signs of escalation of medical concerns, where initial queries about common symptoms are followed by queries about se...
Ryen W. White, Eric Horvitz
WWW
2005
ACM
14 years 8 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...