Abstract: Embodiments of the present invention provide systems, methods and computer program products for generating search results comprising web documents with associated expert information. One embodiment of a method for generating such search results includes receiving one or more search queries, selecting one of the one or more search queries, determining one or more categories of web documents responsive to the selected search query and crawling a web graph of linked web documents to identify one or more web documents tagged as within the one or more categories responsive to the selected search query. The method further includes generating a result set of the one or more web documents identified as within the one or more categories responsive to the selected search query, ranking the result set and generating a list of ranked search results responsive to the selected search.

Abstract: The present invention is directed towards systems and methods for determining the performance of a plurality of versions of a given advertisement. The method of the present invention comprises retrieving a first version of an advertisement and associated click through data, and retrieving a second version of the advertisement and associated click through data. A clickability score is calculated for the first version of the advertisement using the click through data associated with the first version, and a clickability score is calculated for the second version of the advertisement using the click through data associated with the second version. A difference in clickability scores is determined between the first and second advertisement. The clickability score associated with the first version of the advertisement is modified based upon the difference in clickability scores.

Abstract: Methods and systems for associating an unbidded term with a bidded term and for pricing search terms. The method for associating an unbidded term with a bidded term comprises selecting a first set of search engine results for the unbidded term, selecting a second set of search engine results for the bidded second term, comparing the first and second sets, and associating the unbidded term with at least one bidded term based on the results of comparing. The method for assigning monetary values to search terms comprises receiving bids for a first term, deriving a similarity function between the first and second term and pricing the second term based upon the derived similarity function and the bid on the first term.

Abstract: The present invention provides for improving the search relevance of a search results page by including a perceived relevance factor. The system, device and method monitors user selection of elements in the search results page, where these selections indicate relevance of the element compared with the original search request. A perceived relevance factor for the element is then determined based on probabilistic-based computations accounting for the element, which may include a description, a thumbnail and/or meta data, and the position of the element on the search results page. Thereby, for future searches and search results page generation, relevance factors may be calculated based on various factors, including the element attribute based relevant scores and the perceived relevance factor.