Semantic Hyperlink Analysis Model
Huasheng Liu, Gang Liu, LV Yu-qin · 2008
To obtain more accurate and rational subscriptions from Web documents in the World Wide Web a semantic ranking model is proposed. Based on hyperlink analysis and semantic content analysis the model combines Markov chain,Latent Semantic Indexing and hierarchical clustering. This model is sensitive to newly published Web documents and can be used to combat content spamming and in-link spamming in Web search engine, to extend user query through user relevance feedback and also to topic of user query sensitively search in context.