Abstract: An improved system and method for classifying tags of content using a hyperlinked corpus of classified web pages is provided. An anchor text index may be searched to find anchor texts that may match text of the tag, documents referenced by the matching anchor texts may be found, and the documents referenced by the matching anchor texts may be grouped to disambiguate multiple classifications that result from matching the anchor texts with the categories of the reference documents. To resolve ambiguity between multiple classifications, weighted classifications may be used where each document may be assigned a positive weight for a mapping to a category to indicate the confidence of the classification of the document to the category. The classification for the grouping of the documents referenced by the matching anchor texts with greatest frequency may be selected and output as the classification for the tag.

Abstract: A method of creating a word game comprising receiving a seed value from a browser, obtaining from a media database a plurality of words associated with the seed value, creating a word game from at least a subset of the obtained plurality of words, integrating the word game into a browser interpretable document, and, returning the browser interpretable document to the browser. Some embodiments further comprise incorporating into the browser interpretable document an advertisement associated with the seed value and/or at least one of the obtained plurality of words. Also disclosed is a system comprising a gaming server which receives a game request; a media server and media tag database; the gaming server requesting from the media server a set of media tags associated with a game seed value, building a word game using at least a subset of the media tags, and transmitting the word game.

Abstract: An improved system and method for classifying tags of content using a hyperlinked corpus of classified web pages is provided. An anchor text index may be searched to find anchor texts that may match text of the tag, documents referenced by the matching anchor texts may be found, and the documents referenced by the matching anchor texts may be grouped to disambiguate multiple classifications that result from matching the anchor texts with the categories of the reference documents. To resolve ambiguity between multiple classifications, weighted classifications may be used where each document may be assigned a positive weight for a mapping to a category to indicate the confidence of the classification of the document to the category. The classification for the grouping of the documents referenced by the matching anchor texts with greatest frequency may be selected and output as the classification for the tag.