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WWW
2011
ACM
15 years 1 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...
CNSR
2007
IEEE
128views Communications» more  CNSR 2007»
16 years 25 days ago
A Novel Approach for Frequent Phrase Mining in Web Search Engine Query Streams
In this paper, conceptual frequency rate, a new frequency definition suitable for query stream mining, is introduced. An online single-pass algorithm called OFSD (Online Frequent...
M. Barouni-Ebrahimi, Ali A. Ghorbani
SAC
2006
ACM
15 years 6 months ago
Undue influence: eliminating the impact of link plagiarism on web search rankings
Link farm spam and replicated pages can greatly deteriorate link-based ranking algorithms like HITS. In order to identify and neutralize link farm spam and replicated pages, we lo...
Baoning Wu, Brian D. Davison
TREC
2007
15 years 7 months ago
Query and Document Models for Enterprise Search
: We describe our participation in the TREC 2007 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on estimating a mixture mode...
Krisztian Balog, Katja Hofmann, Wouter Weerkamp, M...
WWW
2003
ACM
16 years 7 months ago
ODISSEA: A Peer-to-Peer Architecture for Scalable Web Search and Information Retrieval
We consider the problem of building a P2P-based search engine for massive document collections. We describe a prototype system called ODISSEA (Open DIStributed Search Engine Archi...
Torsten Suel, Chandan Mathur, Jo-wen Wu, Jiangong ...