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» Learning to cluster web search results
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WWW
2008
ACM
14 years 8 months ago
Resolving Person Names in Web People Search
Disambiguating person names in a set of documents (such as a set of web pages returned in response to a person name) is a key task for the presentation of results and the automatic...
Krisztian Balog, Leif Azzopardi, Maarten de Rijke
WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
IJCAI
2007
13 years 9 months ago
Web Page Clustering Using Heuristic Search in the Web Graph
Effective representation of Web search results remains an open problem in the Information Retrieval community. For ambiguous queries, a traditional approach is to organize search ...
Ron Bekkerman, Shlomo Zilberstein, James Allan
ADC
2003
Springer
133views Database» more  ADC 2003»
14 years 26 days ago
Utilizing Hyperlink Transitivity to Improve Web Page Clustering
The rapid increase of web complexity and size makes web searched results far from satisfaction in many cases due to a huge amount of information returned by search engines. How to...
Jingyu Hou, Yanchun Zhang
WEBI
2005
Springer
14 years 1 months ago
Improving Web Clustering by Cluster Selection
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...
Daniel Crabtree, Xiaoying Gao, Peter Andreae