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» Relevance Ranking Using Kernels
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CIKM
2009
Springer
15 years 9 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
15 years 8 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
109
Voted
MKM
2007
Springer
15 years 8 months ago
Methods of Relevance Ranking and Hit-content Generation in Math Search
To be effective and useful, math search systems must not only maximize precision and recall, but also present the query hits in a form that makes it easy for the user to identify...
Abdou Youssef
SIP
2001
15 years 3 months ago
Multiresolutional descriptions of digital video in terms of "relevance"
This paper introduces algorithms for determining the "relevance" of each frame (and objects within the frame) to the scenes present in a given video sequence. Specifical...
Onur G. Guleryuz, V. Ratnakar
146
Voted
SIGIR
2003
ACM
15 years 7 months ago
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with finding documents that cover many different subtopics ...
ChengXiang Zhai, William W. Cohen, John D. Laffert...