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SIGIR
2006
ACM
16 years 11 days ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
NIPS
1996
15 years 7 months ago
Probabilistic Interpretation of Population Codes
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, start...
Richard S. Zemel, Peter Dayan, Alexandre Pouget
VLDB
2002
ACM
131views Database» more  VLDB 2002»
15 years 6 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
NIPS
2008
15 years 7 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
16 years 3 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han