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WWW
2011
ACM
14 years 8 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
ITNG
2006
IEEE
15 years 7 months ago
Overlap Among Major Web Search Engines
Purpose – This paper reports the findings of a major study examining the overlap among results retrieved by three major web search engines. The goal of the research was to: mea...
Amanda Spink, Bernard J. Jansen, Chris Blakely, Sh...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 2 months ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
SIGMOD
2009
ACM
148views Database» more  SIGMOD 2009»
16 years 1 months ago
Combining keyword search and forms for ad hoc querying of databases
A common criticism of database systems is that they are hard to query for users uncomfortable with a formal query language. To address this problem, form-based interfaces and keyw...
Eric Chu, Akanksha Baid, Xiaoyong Chai, AnHai Doan...
ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
15 years 8 months ago
A Decision-Making Framework for Control Strategies in Probabilistic Search
Abstract— This paper presents the search problem formulated as a decision problem, where the searcher decides whether the target is present in the search region, and if so, where...
Timothy H. Chung, Joel W. Burdick