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Applying topic model in context-aware TV programs recommendation
Jing Yuan, Andreas Lommatzsch,
Mu Mu
University of Northampton
Computing
Research output
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Contribution to Journal
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Article
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Dive into the research topics of 'Applying topic model in context-aware TV programs recommendation'. Together they form a unique fingerprint.
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Keyphrases
TV Program Recommendation
100%
Context-aware
100%
Latent Dirichlet Allocation
100%
Recommender
50%
Contextual Factors
33%
User-centric
33%
Gibbs Sampling
16%
Probability Distribution
16%
Term Document Matrix
16%
Probabilistic Graphical Models
16%
Top 10
16%
Context Effects
16%
Watching Behavior
16%
Probabilistic Selection
16%
Content System
16%
Information Retrieval
16%
User Program
16%
Term Frequency
16%
Natural Clustering
16%
Television Content
16%
IPTV Service
16%
Inference Framework
16%
Web-based
16%
High Probability
16%
Television Programs
16%
Number of Subjects
16%
Diversity Measure
16%
System User
16%
Clustering Effect
16%
Computer Science
Probabilistic Graphical Model
16%