Extracting Search-Focused Key N-Grams and/or Phrases for Relevance Rankings in Searches

摘要

An n-gram and/or phrase extraction model may be trained based at least in part on search-focused information mined from a search-query log. The n-gram and/or phrase extraction model may extract key n-grams and/or phrases from retrieved electronic documents based at least in part on features and/or characteristics of the key n-grams and/or phrases and based at least in part on features and/or characteristics of the search-focused information. The extracted key n-grams and/or phrases may be weighted. A relevancy ranking model may be trained based at least in part on the information extracted by the n-gram and/or phrase extraction model. The relevancy ranking model may provide a relevancy ranking score for electronic documents listed in a search result based at least in part on weights of extracted key n-grams and/or phrases.