Abstract: Systems and methods for applications of orthogonal corpus indexing (OCI), such as selecting ad words for purchase and improving visibility of web pages in search engines, are described. In one aspect, the systems and methods described herein employ OCI to recommend to an advertiser ad words for purchase. Advertisers pay search engines for placement of their advertising along side results in the search results page, when a given word or phrase appears in a user's search query. The described systems and methods enable automated selection of related and discriminating terms, identifying keywords that increase the ratio of ads clicked-through to money spent on keyword buying. In another aspect, the systems and methods described herein employ OCI to generate content for web pages. OCI may be used to determine content that when added to a web page improves the rank of that page in a search engine.
Abstract: The invention provides for indexing and cataloging of content on the Internet, as well as from other stores of information, may be performed by applying a process that employs an orthogonal corpus, or corpora, of information, such as an Encyclopedia. To this end, the processes described herein identify the topics discussed within the corpus. The process also identifies within the corpus a set of keywords that are relevant to the topics presented in the corpus. The keywords associated with a topic may be employed to identify documents stored in another database that are related to the topic. A graphical representation of the index of topics found in the corpus may then be generated, with individual topics operating as links to these related documents. Thus, a user interested in reviewing content in the corpus related to a certain topic, may also activate a link in the graphical representation of the index to access other documents that have been identified as related to the topic of interest to the user.