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CIKM
2010
Springer
15 years 2 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 10 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
129
Voted
TREC
2008
15 years 5 months ago
The University College London at TREC 2008 Enterprise Track
The University College London Information Retrieval Group participated in both the Expert Search and Document Search tasks in the TREC2008 Enterprise Track. We used a generic two-...
Jianhan Zhu
TREC
2004
15 years 5 months ago
Language Models for Searching in Web Corpora
: We describe our participation in the TREC 2004 Web and Terabyte tracks. For the web track, we employ mixture language models based on document full-text, incoming anchortext, and...
Jaap Kamps, Gilad Mishne, Maarten de Rijke
WEBNET
2001
15 years 5 months ago
Deriving Context Specific Information on the Web
: The Web is huge, unstructured and diverse in quality, which makes searching for information difficult. In practice, few of the documents returned by a search engine are valuable ...
Christo Dichev, Darina Dicheva