Patent Document ID: 8645390
Application ID: 12187776

Base Claim:
1. A method of processing a search query, comprising: at a computer system having one or more processors and memory storing one or more programs executed by the one or more processors: for each search context of a plurality of search contexts, for each scoring primitive of a plurality of scoring primitives, for a set of previously executed search queries that are consistent with the search context, determining a correlation between the scoring primitive and actual user selections of results of the previously executed search queries by a plurality of users; and for each search context, performing machine learning on the correlations to identify a predicted performance function comprising a weighted subset of the scoring primitives that meet predefined predictive quality criteria, wherein the identified predicted performance function is associated with the search context; and receiving and executing a user submitted search query, submitted by a user, to produce a set of search results, including associating the user submitted search query with a respective search context of the plurality of search contexts, and ordering at least a portion of the search results in accordance with the identified predicted performance function for the search context associated with the user submitted search query.

---

Claim 12:
12. The method of claim 1 , wherein identifying the predicted performance function includes performing machine learning on a correlation between the scoring primitives and other user activities on the results of the previously executed search queries in addition to actual user selections of results of the previously executed search queries.