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WWW
2009
ACM
14 years 8 months ago
Buzz-based recommender system
In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
Nish Parikh, Neel Sundaresan
KDD
2005
ACM
169views Data Mining» more  KDD 2005»
14 years 8 months ago
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
Bamshad Mobasher, Robin D. Burke, Chad Williams, R...
DAWAK
2009
Springer
14 years 4 months ago
Recommending Multidimensional Queries.
Interactive analysis of datacube, in which a user navigates a cube by launching a sequence of queries is often tedious since the user may have no idea of what the forthcoming query...
Arnaud Giacometti, Elsa Negre, Patrick Marcel
RECSYS
2009
ACM
14 years 2 months 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
NOMS
2008
IEEE
14 years 2 months ago
SPIRIT: Service for providing infrastructure recommendations for IT
We present SPIRIT, a Service for Providing Infrastructure Recommendations for Information Technology. SPIRIT allows maintenance support providers for Small-to-Medium Businesses (S...
Ashwin Lall, Anca Sailer, Mark Brodie