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» Performance evaluation of relevance feedback methods
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CHI
2011
ACM
14 years 7 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
108
Voted
IIR
2010
15 years 4 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
FIRBPERF
2005
IEEE
235views Algorithms» more  FIRBPERF 2005»
15 years 9 months ago
Performance Model Building of Pervasive Computing
Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using aut...
Andrea D'Ambrogio, Giuseppe Iazeolla
ICLP
2010
Springer
15 years 7 months ago
Implementation Alternatives for Bottom-Up Evaluation
Abstract. Bottom-up evaluation is a central part of query evaluation / program execution in deductive databases. It is used after a source code optimization like magic sets or SLDm...
Stefan Brass
160
Voted
WILF
2009
Springer
196views Fuzzy Logic» more  WILF 2009»
15 years 8 months ago
Interactive Image Retrieval in a Fuzzy Framework
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagr...