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» On perfect document rankings for expert search
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KDD
2002
ACM
169views Data Mining» more  KDD 2002»
14 years 7 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
CIKM
2009
Springer
14 years 2 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
SIGIR
2009
ACM
14 years 1 months ago
Reducing long queries using query quality predictors
Long queries frequently contain many extraneous terms that hinder retrieval of relevant documents. We present techniques to reduce long queries to more effective shorter ones tha...
Giridhar Kumaran, Vitor R. Carvalho
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 9 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
VLDB
2004
ACM
137views Database» more  VLDB 2004»
14 years 22 days ago
Schema-Free XQuery
The widespread adoption of XML holds out the promise that document structure can be exploited to specify precise database queries. However, the user may have only a limited knowle...
Yunyao Li, Cong Yu, H. V. Jagadish