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» Improving web search results using affinity graph
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NIPS
2007
13 years 10 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
DIGITALCITIES
2003
Springer
14 years 1 months ago
Map-Based Range Query Processing for Geographic Web Search Systems
In order to utilize geographic web information for digital city applications, we have been developing a geographic web search system, KyotoSEARCH. When users retrieve geographic in...
Ryong Lee, H. Shiina, Taro Tezuka, Yusuke Yokota, ...
WCW
2004
Springer
14 years 1 months ago
ShortCuts: Using Soft State to Improve DHT Routing
Distributed hash tables are increasingly being proposed as the core substrate for content delivery applications in the Internet, such as cooperative Web caches, Web index and sear...
Kiran Tati, Geoffrey M. Voelker
WWW
2005
ACM
14 years 9 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...
WWW
2009
ACM
14 years 9 months ago
User-centric content freshness metrics for search engines
In order to return relevant search results, a search engine must keep its local repository synchronized to the Web, but it is usually impossible to attain perfect freshness. Hence...
Ali Dasdan, Xinh Huynh