Search engine that applies feedback from users to improve search results

摘要

The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.

主权项

1. A method of presenting documents to a user, comprising:
a. assigning relevance scores to a plurality of the documents, by a computer programmed to compute relevance scores based on a relevance model using one or more user input events, wherein at least one of the one or more user input events is an active selection of a user input feature about at least one document and is received outside a context of a presentation of search results of a search, the one or more user input events comprising input about the at least one document from at least one user; and b. presenting the documents to the user according to the relevance scores.