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

The computing system as recited in 8, wherein the search-focused data is provided by a trained key n-gram and/or phrase extraction model.

The computing system as recited in 9, wherein the trained key n-gram and/or phrase extraction model is trained to extract key n-grams and/or phrases from electronic documents based at least in part on search-query log data, wherein search-query log data includes search queries, search results corresponding to the search queries, and indicators of user determined relevancy rankings for electronic documents listed in the search results.

The computing system as recited in 9, wherein the trained key n-gram and/or phrase extraction model is trained based on learning to rank techniques.

The computing system as recited in 8, wherein the at least one storage device further storing a relevance ranking model that performs the act of calculating a relevancy ranking of the retrieved electronic documents based at least in part on at least one n-gram/phrase weight of the search-focused data, the relevance ranking model trained based at least in part on the search-focused data.

The computing system as recited in 12, wherein the relevance ranking model is further trained based at least in part on features and/or characteristics of extracted n-grams and/or phrases in the search-focused data.

The computing system as recited in 8, wherein the electronic documents are formatted in a hypertext markup language format.

The computing system as recited in 8, wherein the electronic documents are web pages.

One or more computer-readable media storing computer-executable instructions, the computer-executable instructions that, when executed on one or more processors, causes the one or more processors to perform acts comprising:

• retrieving, in response to a search query, a number of electronic documents based at least in part on the search query;
• and
• calculating a relevancy ranking of the retrieved electronic documents based at least in part on search-focused data, the search-focused data, stored by the one or more computer-readable media, including n-grams and/or phrases, content locators and n-gram/phrase weights, each n-gram and/or phrase extracted from at least one electronic document, each content locator identifying a location of an electronic document from which a corresponding extracted n-gram and/or phrase was extracted, and each n-gram/phrase weight being associated with an extracted n-gram and/or phrase and providing a measure of relevancy of the associated extracted n-gram and/or phrase with respect to the corresponding electronic document from which the associated extracted n-gram and/or phrase was extracted