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» From Algorithmic to Subjective Randomness
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KDD
2008
ACM
110views Data Mining» more  KDD 2008»
16 years 5 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 5 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
133
Voted
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 5 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
122
Voted
WWW
2010
ACM
15 years 11 months ago
Antourage: mining distance-constrained trips from flickr
We study how to automatically extract tourist trips from large volumes of geo-tagged photographs. Working with more than 8 million of these photographs that are publicly available...
Saral Jain, Stephan Seufert, Srikanta J. Bedathur
107
Voted
KCAP
2009
ACM
15 years 11 months ago
POIROT: acquiring workflows by combining models learned from interpreted traces
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...