Hierarchical latent tree analysis (HLTA) is recently proposed as a new method for topic detection. It differs fundamentally from the LDA-based methods in terms of topic definition, topic-document relationship, and learning method. It has been shown to discover significantly more coherent topics and better topic hierarc…
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2 results for “HLTA”
Paper proposes using taste groups for better item recommendations.
problem Lack of negative examples in implicit feedback.
method Hierarchical Latent Tree Analysis (HLTA) to identify taste-based user groups.
result Recommendations for a user based on her memberships in identified taste groups.