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SIGIR
2010
ACM
15 years 3 months ago
A two-stage model for blog feed search
We consider blog feed search: identifying relevant blogs for a given topic. An individual’s search behavior often involves a combination of exploratory behavior triggered by sal...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
CIKM
2009
Springer
15 years 6 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
MM
2005
ACM
172views Multimedia» more  MM 2005»
15 years 5 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
16 years 18 hour ago
The TopX DB&IR engine
This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and ...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
CIKM
2009
Springer
15 years 6 months ago
On domain similarity and effectiveness of adapting-to-rank
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng