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» On ranking techniques for desktop search
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SIGMOD
2007
ACM
229views Database» more  SIGMOD 2007»
15 years 9 months ago
Spark: top-k keyword query in relational databases
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
Yi Luo, Xuemin Lin, Wei Wang 0011, Xiaofang Zhou
74
Voted
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
15 years 10 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
15 years 9 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
66
Voted
SIGIR
2009
ACM
15 years 4 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
TKDE
2012
312views Formal Methods» more  TKDE 2012»
13 years 3 days ago
Efficient Fuzzy Type-Ahead Search in XML Data
—In a traditional keyword-search system over XML data, a user composes a keyword query, submits it to the system, and retrieves relevant answers. In the case where the user has l...
Jianhua Feng, Guoliang Li