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ECIR
2010
Springer
13 years 9 months ago
2010
Springer
Web search personalization aims to adapt search results to a user based on his tastes, interests and needs. The way in which such personal preferences are captured, modeled and exp...
ECIR
2010
Springer
13 years 7 months ago
2010
Springer
Web search engines are composed of a large set of search nodes and a broker machine that feeds them with queries. A location cache keeps minimal information in the broker to regist...
ECIR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Users often search for entities instead of documents and in this setting are willing to provide extra input, in addition to a query, such as category information and exam...
ECIR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...
ECIR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...