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» Learning to rank for information retrieval
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ICDE
2008
IEEE
129views Database» more  ICDE 2008»
15 years 11 months ago
Fuzzy Multi-Dimensional Search in the Wayfinder File System
With the explosion in the amount of semi-structured data users access and store, there is a need for complex search tools to retrieve often very heterogeneous data in a simple and ...
Amélie Marian, Christopher Peery, Thu D. Ng...
VLDB
2009
ACM
159views Database» more  VLDB 2009»
15 years 10 months ago
Anytime measures for top-k algorithms on exact and fuzzy data sets
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
SIGMOD
2009
ACM
150views Database» more  SIGMOD 2009»
15 years 10 months ago
DBDOC: querying and browsing databases and interrelated documents
Large collections of documents are commonly created around a database, where a typical database schema may contain hundreds of tables and thousands of columns. We developed a syst...
Carlos Garcia-Alvarado, Carlos Ordonez, Zhibo Chen...
DBISP2P
2005
Springer
183views Database» more  DBISP2P 2005»
15 years 3 months ago
Database Selection and Result Merging in P2P Web Search
Intelligent Web search engines are extremely popular now. Currently, only commercial centralized search engines like Google can process terabytes of Web data. Alternative search en...
Sergey Chernov, Pavel Serdyukov, Matthias Bender, ...
KDD
2010
ACM
246views Data Mining» more  KDD 2010»
14 years 8 months ago
Latent aspect rating analysis on review text data: a rating regression approach
In this paper, we define and study a new opinionated text data analysis problem called Latent Aspect Rating Analysis (LARA), which aims at analyzing opinions expressed about an e...
Hongning Wang, Yue Lu, Chengxiang Zhai