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» Extracting Web Data Using Instance-Based Learning
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DEBU
1998
95views more  DEBU 1998»
13 years 9 months ago
What can you do with a Web in your Pocket?
The amount of information available online has grown enormously over the past decade. Fortunately, computing power, disk capacity, and network bandwidth have also increased dramat...
Sergey Brin, Rajeev Motwani, Lawrence Page, Terry ...
ECIR
2009
Springer
14 years 7 months ago
Combination of Documents Features Based on Simulated Click-through Data
Many different ranking algorithms based on content and context have been used in web search engines to find pages based on a user query. Furthermore, to achieve better performance ...
Ali Mohammad Zareh Bidoki, James A. Thom
IAT
2008
IEEE
14 years 4 months ago
Generating Personalized Summaries Using Publicly Available Web Documents
Many Knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from s...
Chandan Kumar, Prasad Pingali, Vasudeva Varma
COLING
2010
13 years 5 months ago
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...
WWW
2010
ACM
14 years 5 months ago
Keyword extraction for social snippets
Today, a huge amount of text is being generated for social purposes on social networking services on the Web. Unlike traditional documents, such text is usually extremely short an...
Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han