Inventors: Daniel Egnor
US Patent Application 20060149774
Published July 6, 2006
Filed on December 30, 2004
Abstract
数据挖掘论坛
A local search engine efficiently indexes documents relevant to a geographical area by indexing, for each document, multiple location identifiers that collectively define an aggregate geographic region. When creating the index, the search engine may determine a set of geographical areas surrounding a geographical area relevant to a document and associate references to the set of geographical areas with the document index.
It′s not always clear what the geographic location of a webpage is, based upon information presented on individual pages, though sometimes that type of information exists on the pages. The process displayed in this next filing tries to take information that may be spread out on a page, and tie it together to identify a location.
数据挖掘实验室
Classification of ambiguous geographic references
Inventors: Daniel Egnor
US Patent Application 20060149742
Published July 6, 2006
Filed on December 30, 2004
数据挖掘实验室
Abstract
A location classifier generates location information based on textual strings in input text. The location information defines potential geographical relevance of the input text. In determining the location information, the location classifier may receive at least one geo-relevance profile associated with at least one string in the input text, obtain a combined geo-relevance profile for the document from the at least one geo-relevance profile, and determine geographical relevance of the input text based on the combined geo-relevance profile.
Imagine if a search engine could serve either regular web search results or local results. Some search queries could be ambiguous, and may make it difficult to determine whether to serve local search information or general web search results. The inventors of the next document provide some ideas that may reduce some of that ambiguity a little.
