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» Document Retrieval using a Probabilistic Knowledge Model
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KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 2 months ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
AP2PC
2004
Springer
15 years 3 months ago
ACP2P: Agent Community Based Peer-to-Peer Information Retrieval
This paper proposes an agent community based information retrieval method, which uses agent communities to manage and look up information related to users. An agent works as a dele...
Tsunenori Mine, Daisuke Matsuno, Akihiro Kogo, Mak...
ICDAR
2011
IEEE
13 years 9 months ago
Evaluating the Rarity of Handwriting Formations
—Identifying unusual or unique characteristics of an observed sample in useful in forensics in general and handwriting analysis in particular. Rarity is formulated as the probabi...
Sargur N. Srihari
WEBI
2010
Springer
14 years 7 months ago
On Using Query Logs for Static Index Pruning
Static index pruning techniques aim at removing from the posting lists of an inverted file the references to documents which are likely to be not relevant for answering user querie...
Hoang Thanh Lam, Raffaele Perego, Fabrizio Silvest...
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
15 years 1 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen