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» Ranking Query Results using Context-Aware Preferences
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ECIR
2011
Springer
13 years 1 months ago
Learning Models for Ranking Aggregates
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...
Craig Macdonald, Iadh Ounis
ICDT
2007
ACM
126views Database» more  ICDT 2007»
14 years 4 months ago
Combining Incompleteness and Ranking in Tree Queries
Abstract. In many cases, users may want to consider incomplete answers to their queries. Often, however, there is an overwhelming number of such answers, even if subsumed answers a...
Benny Kimelfeld, Yehoshua Sagiv
ECIR
2011
Springer
13 years 1 months ago
A Methodology for Evaluating Aggregated Search Results
Aggregated search is the task of incorporating results from different specialized search services, or verticals, into Web search results. While most prior work focuses on deciding...
Jaime Arguello, Fernando Diaz, Jamie Callan, Ben C...
NAACL
2010
13 years 8 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
CSE
2009
IEEE
14 years 4 months ago
Ranking Comments on the Social Web
— We study how an online community perceives the relative quality of its own user-contributed content, which has important implications for the successful self-regulation and gro...
Chiao-Fang Hsu, Elham Khabiri, James Caverlee