Abstract: Extraction analysis techniques biased, in part, by query frequency information from a query log file and/or search engine cache are employed along with machine learning processes to determine candidate keywords and/or phrases of web documents. Web oriented features associated with the candidate keywords and/or phrases are also utilized to analyze the web documents. A keyword and/or phrase extraction mechanism can be utilized to score keywords and/or phrases in a web document and estimate a likelihood that the keywords and/or phrases are relevant, for example, in an advertising system and the like.

Abstract: A computer-implemented implicit querying system comprises a scanning component that scans content of a document. An analysis component analyzes the scanned content and outputs a query based at least in part upon the analysis and frequency of use information associated with the query. The system can further comprise a weighting component that provides weights to text within the document based at least in part upon location of text within the document. The query can then be output to a user based at least in part upon the provided weights.