Categorizing and ranking search engine's results by semantic similarity

@inproceedings{Hao2008CategorizingAR,
  title={Categorizing and ranking search engine's results by semantic similarity},
  author={Tianyong Hao and Zhi Lu and Shitong Wang and Tiansong Zou and Shenhua Gu and Wenyin Liu},
  booktitle={ICUIMC},
  year={2008}
}
An automatic method for text categorizing and ranking search engine's results by semantic similarity is proposed in this paper. We first obtain nouns and verbs from snippets obtained from search engine using Name Entity Recognition and part-of speech. A semantic similarity algorithm based on WordNet is proposed to calculate the similarity of each snippet to each of the pre-defined categories. A balanced similarity ranking method combined with Google's rank and timeliness of the pages is… CONTINUE READING

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