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CIKM
2011
Springer
12 years 8 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 8 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
FSS
2008
87views more  FSS 2008»
13 years 8 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
VLDB
2002
ACM
131views Database» more  VLDB 2002»
13 years 8 months ago
ProTDB: Probabilistic Data in XML
Whereas traditional databases manage only deterministic information, many applications that use databases involve uncertain data. This paper presents a Probabilistic Tree Data Bas...
Andrew Nierman, H. V. Jagadish
ICNP
2005
IEEE
14 years 2 months ago
Trading Precision for Stability in Congestion Control with Probabilistic Packet Marking
In pricing-based congestion control protocols it is common to assume that the rate of congestion feedback from the network is limited to a single bit per packet. To obtain a preci...
Jonathan K. Shapiro, C. V. Hollot, Donald F. Towsl...