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» Fuzzy Ranking Model Based on User Preference
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JMLR
2010
135views more  JMLR 2010»
14 years 10 months ago
An Exponential Model for Infinite Rankings
This paper presents a statistical model for expressing preferences through rankings, when the number of alternatives (items to rank) is large. A human ranker will then typically r...
Marina Meila, Le Bao
EDBT
2010
ACM
177views Database» more  EDBT 2010»
15 years 6 months ago
PerK: personalized keyword search in relational databases through preferences
Keyword-based search in relational databases allows users to discover relevant information without knowing the database schema or using complicated queries. However, such searches...
Kostas Stefanidis, Marina Drosou, Evaggelia Pitour...
JLP
2008
92views more  JLP 2008»
15 years 3 months ago
Relational measures and integration in preference modeling
Based on a set of criteria and a measuring lattice, we introduce relational measures as generalizations of fuzzy measures. The latter have recently made their way from the interva...
Gunther Schmidt, Rudolf Berghammer
ERCIMDL
2004
Springer
116views Education» more  ERCIMDL 2004»
15 years 9 months ago
P-News: Deeply Personalized News Dissemination for MPEG-7 Based Digital Libraries
Advanced personalization techniques are required to cope with novel challenges posed by attribute-rich MPEG-7 based digital libraries. At the heart of our deeply personalized news ...
Qiuyue Wang, Wolf-Tilo Balke, Werner Kießlin...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal