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» Structuring and Expanding Queries in the Probabilistic Model
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PODS
1993
ACM
122views Database» more  PODS 1993»
14 years 1 months ago
Towards an Analysis of Range Query Performance in Spatial Data Structures
In this paper, we motivate four di erent user de ned window query classes and derive a probabilistic model for each of them. For each model, we characterize the e ciency of spatia...
Bernd-Uwe Pagel, Hans-Werner Six, Heinrich Toben, ...
CIKM
2001
Springer
14 years 2 months ago
Model-based Feedback in the Language Modeling Approach to Information Retrieval
The language modeling approach to retrieval has been shown to perform well empirically. One advantage of this new approach is its statistical foundations. However, feedback, as on...
ChengXiang Zhai, John D. Lafferty
HIM
1997
Springer
162views Multimedia» more  HIM 1997»
14 years 1 months ago
Probabilistic Logical Information Retrieval for Content, Hypertext, and Database Querying
Classical retrieval models support content-oriented searching for documents using a set of words as data model. However, in hypertext and database applications we want to consider...
Thomas Rölleke, Markus Blömer
VLDB
2004
ACM
129views Database» more  VLDB 2004»
14 years 3 months ago
Probabilistic Ranking of Database Query Results
We investigate the problem of ranking answers to a database query when many tuples are returned. We adapt and apply principles of probabilistic models from Information Retrieval f...
Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, ...
SIGMOD
2009
ACM
134views Database» more  SIGMOD 2009»
14 years 10 months ago
Keyword query cleaning using hidden Markov models
In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
Ken Q. Pu