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WWW
2008
ACM
16 years 7 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
WWW
2004
ACM
16 years 7 months ago
Shilling recommender systems for fun and profit
Recommender systems have emerged in the past several years as an effective way to help people cope with the problem of information overload. One application in which they have bec...
Shyong K. Lam, John Riedl
TREC
2004
15 years 8 months ago
Amberfish at the TREC 2004 Terabyte Track
The TREC 2004 Terabyte Track evaluated information retrieval in largescale text collections, using a set of 25 million documents (426 GB). This paper gives an overview of our expe...
Nassib Nassar
HT
2011
ACM
14 years 10 months ago
Personalisation in the wild: providing personalisation across semantic, social and open-web resources
One of the key motivating factors for information providers to use personalisation is to maximise the benefit to the user in accessing their content. However, traditionally such s...
Ben Steichen, Alexander O'Connor, Vincent Wade
SIGIR
2009
ACM
16 years 1 months ago
The impact of crawl policy on web search effectiveness
Crawl selection policy has a direct influence on Web search effectiveness, because a useful page that is not selected for crawling will also be absent from search results. Yet th...
Dennis Fetterly, Nick Craswell, Vishwa Vinay