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ICML
2010
IEEE
15 years 1 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet
ICTIR
2009
Springer
14 years 10 months ago
An Analysis of NP-Completeness in Novelty and Diversity Ranking
Abstract. A useful ability for search engines is to be able to rank objects with novelty and diversity: the top k documents retrieved should cover possible interpretations of a que...
Ben Carterette
ESA
2011
Springer
231views Algorithms» more  ESA 2011»
14 years 11 days ago
Distribution-Aware Compressed Full-Text Indexes
Abstract. In this paper we address the problem of building a compressed self-index that, given a distribution for the pattern queries and a bound on the space occupancy, minimizes ...
Paolo Ferragina, Jouni Sirén, Rossano Ventu...
174
Voted
ICDE
2008
IEEE
191views Database» more  ICDE 2008»
16 years 2 months ago
An Algebraic Approach to Rule-Based Information Extraction
Traditional approaches to rule-based information extraction (IE) have primarily been based on regular expression grammars. However, these grammar-based systems have difficulty scal...
Frederick Reiss, Sriram Raghavan, Rajasekar Krishn...
200
Voted
ICDE
2005
IEEE
147views Database» more  ICDE 2005»
16 years 2 months ago
Cost-Driven General Join View Maintenance over Distributed Data Sources
Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this work, we model vie...
Bin Liu, Elke A. Rundensteiner