Class-based n-gram models of natural language
Computational Linguistics
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Stochastic link and group detection
Eighteenth national conference on Artificial intelligence
The Journal of Machine Learning Research
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
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We investigate multinomial mixture traffic models for community based ranking and navigation. A “highway” model of source-destination traffic is formulated which aggregates the traffic through an underlying network of highways, onramps and offramps. The model extracts community structure from source-destination traffic information, but in addition captures the aggregate “highway” traffic between the communities. This important distinction extends the highway traffic analysis beyond clustering. The analysis discovers communities, rankings of the communities, rankings of destinations within each community, and transition probabilities between the communities. The model can be used for community-based collaborative filtering when applied to similarity graphs for music or movies.