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» Fuzzy Ranking Model Based on User Preference
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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
SIGIR
2008
ACM
15 years 3 months ago
Evaluation measures for preference judgments
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
Ben Carterette, Paul N. Bennett
169
Voted
ECAI
2010
Springer
15 years 1 months ago
Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning
Bipolarity is an important feature of spatial information, involved in the expression of preferences and constraints about spatial positioning or in pairs of opposite spatial relat...
Céline Hudelot, Jamal Atif, Isabelle Bloch
SWWS
2010
15 years 1 months ago
Improving User Query Processing Based on User Profile and Task Context
- Today there is a real challenge in accessing relevant information according to the needs and the context of the user. Recent studies have dynamically enhanced the user query with...
Ounas Asfari, Bich-Liên Doan, Yolaine Bourda...
146
Voted
IJCAI
2007
15 years 5 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci