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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 9 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
WWW
2008
ACM
14 years 9 months ago
Learning multiple graphs for document recommendations
The Web offers rich relational data with different semantics. In this paper, we address the problem of document recommendation in a digital library, where the documents in questio...
Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Bel...
BMCBI
2011
13 years 16 days ago
Computable visually observed phenotype ontological framework for plants
Background: The ability to search for and precisely compare similar phenotypic appearances within and across species has vast potential in plant science and genetic research. The ...
Jaturon Harnsomburana, Jason M. Green, Adrian S. B...
CIKM
2007
Springer
14 years 3 months ago
Nugget discovery in visual exploration environments by query consolidation
Queries issued by casual users or specialists exploring a data set often point us to important subsets of the data, be it clusters, outliers or other features of particular import...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
WWW
2009
ACM
14 years 9 months ago
Estimating the impressionrank of web pages
The ImpressionRank of a web page (or, more generally, of a web site) is the number of times users viewed the page while browsing search results. ImpressionRank captures the visibi...
Ziv Bar-Yossef, Maxim Gurevich