Sciweavers

447 search results - page 17 / 90
» Probabilistic model for contextual retrieval
Sort
View
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 9 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
CONTEXT
2007
Springer
14 years 1 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
QI
2009
Springer
127views Physics» more  QI 2009»
14 years 2 months ago
Structured Information Retrieval and Quantum Theory
Information Retrieval (IR) systems try to identify documents relevant to user queries, which are representations of user information needs. Interaction, context, and document struc...
Benjamin Piwowarski, Mounia Lalmas
HICSS
2002
IEEE
113views Biometrics» more  HICSS 2002»
14 years 18 days ago
Persona: A Contextualized and Personalized Web Search
Abstract— Recent advances in graph-based search techniques derived from Kleinberg’s work [1] have been impressive. This paper further improves the graph-based search algorithm ...
Francisco Tanudjaja, Lik Mu
ICML
2008
IEEE
14 years 8 months ago
Learning to learn implicit queries from gaze patterns
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
Antti Ajanki, Kai Puolamäki, Samuel Kaski