Sciweavers

536 search results - page 11 / 108
» Learning to cluster web search results
Sort
View
WWW
2008
ACM
16 years 11 days 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
14 years 6 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
15 years 1 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
88
Voted
ADC
2003
Springer
133views Database» more  ADC 2003»
15 years 5 months 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
15 years 5 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