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» Learning-based Query Performance Modeling and Prediction
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WWW
2009
ACM
16 years 10 days ago
Understanding user's query intent with wikipedia
Understanding the intent behind a user's query can help search engine to automatically route the query to some corresponding vertical search engines to obtain particularly re...
Jian Hu, Gang Wang, Frederick H. Lochovsky, Jian-T...
UAI
2003
15 years 1 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
VLDB
2007
ACM
166views Database» more  VLDB 2007»
15 years 5 months ago
To Share or Not To Share?
Intuitively, aggressive work sharing among concurrent queries in a database system should always improve performance by eliminating redundant computation or data accesses. We show...
Ryan Johnson, Nikos Hardavellas, Ippokratis Pandis...
90
Voted
TREC
2003
15 years 1 months ago
Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track
Our participation in TREC 2003 aims to adapt the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) to the robust track and the topic distillation task o...
Giambattista Amati, Claudio Carpineto, Giovanni Ro...
DEXA
2004
Springer
103views Database» more  DEXA 2004»
15 years 5 months ago
Characterizing Database User's Access Patterns
Much work has been done on characterizing the workload of a database system. Previous studies focused on providing different types of statistical summaries, and modeling the run-ti...
Qingsong Yao, Aijun An