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KDD
2007
ACM
237views Data Mining» more  KDD 2007»
14 years 8 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
KDD
2007
ACM
169views Data Mining» more  KDD 2007»
14 years 8 months ago
Exploiting underrepresented query aspects for automatic query expansion
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
14 years 8 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
KDD
2004
ACM
156views Data Mining» more  KDD 2004»
14 years 8 months ago
TiVo: making show recommendations using a distributed collaborative filtering architecture
We describe the TiVo television show collaborative recommendation system which has been fielded in over one million TiVo clients for four years. Over this install base, TiVo curre...
Kamal Ali, Wijnand van Stam
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
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