Improving location prediction services for new users with probabilistic latent semantic analysis

UbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Volumn , Issue , 2012, Pages 906-910

  McInerney, James ^a   Rogers, Alex ^a   Jennings, Nicholas R ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

And Temporal Reasoning; Knowledge Representation and Reasoning::Geometric; Machine Learning::Data Mining; Machine Learning::Machine Learning (General other; Machine Learning::Unsupervised Learning; Reasoning under Uncertainty::Uncertainty in AI (General other); Spatial

Indexed keywords

BAYESIAN NETWORKS; DATA MINING; EIGENVALUES AND EIGENFUNCTIONS; FORECASTING; KNOWLEDGE REPRESENTATION; LOCATION; MACHINE LEARNING; MARKOV PROCESSES; SEMANTICS; TEMPORAL LOGIC; UBIQUITOUS COMPUTING;

HIERARCHICAL BAYESIAN MODELING; KNOWLEDGE REPRESENTATION AND REASONING; NONLINEAR TIME-SERIES ANALYSIS; PROBABILISTIC LATENT SEMANTIC ANALYSIS; SPATIAL; TEMPORAL REASONING; UNCERTAINTY IN AI; VARIABLE ORDER MARKOV MODELS;

TIME SERIES ANALYSIS;

EID: 84879480281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2370216.2370420     Document Type: Conference Paper

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