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PODS
2006
ACM
107views Database» more  PODS 2006»
16 years 6 months ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar
RECSYS
2009
ACM
16 years 22 days ago
Recommendations with prerequisites
We consider the problem of recommending the best set of k items when there is an inherent ordering between items, expressed as a set of prerequisites (e.g., the course ‘Real Ana...
Aditya G. Parameswaran, Hector Garcia-Molina
SIGIR
2008
ACM
15 years 5 months ago
Pagerank based clustering of hypertext document collections
Clustering hypertext document collection is an important task in Information Retrieval. Most clustering methods are based on document content and do not take into account the hype...
Konstantin Avrachenkov, Vladimir Dobrynin, Danil N...
ICDE
2008
IEEE
110views Database» more  ICDE 2008»
16 years 7 months ago
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
Muhammed Miah, Gautam Das, Vagelis Hristidis, Heik...
SIGIR
2009
ACM
16 years 22 days ago
Combining audio content and social context for semantic music discovery
When attempting to annotate music, it is important to consider both acoustic content and social context. This paper explores techniques for collecting and combining multiple sourc...
Douglas Turnbull, Luke Barrington, Gert R. G. Lanc...