Abstract: A computer implemented method includes collecting multi-modal residential real estate data from networked machines. The multi-modal residential real estate data is segregated into relational data, textual data and image data to form segregated data. Statistical anomalies in the segregated data are corrected to form first refined data. The first refined data is augmented to reduce sparsity and form second refined data. Numerical embedding vectors are computed from the second refined data. The numerical embedding vectors are aggregated by geographic region. A deep neural network is trained using the numerical embedding vectors to form models for predicting residential real estate attributes. The models are utilized to compute a dynamic value for a specified residential real estate asset. Parcels in a geographic area surrounding the specified residential real estate asset are defined. The models compute dynamic values for the parcels in the geographic area.

Abstract: A computer system and method a computer system and method for processing a search query result includes identifying a plurality of result pages in response to a search query submitted from a computing device directed to a collection of pages, determining a relevancy ranking of the result pages in accordance with a multiple dimension parameter set that includes metrics relating to the search query itself and also includes metrics unique to a subscriber associated with the search query, and providing the result pages in accordance with the determined relevancy ranking. This provides an active ranking process for the search results before they are provided to a user.

Abstract: A computer system and method for processing a search query directed to a database first inquires of multiple searchlet applications as to whether each respective searchlet is capable of performing the search query and then, if an affirmative response is received, passes the search query to the affirmatively responding searchlets, such that each searchlet returns a response comprising a single page, or no page at all if the search fails. Communication of the search query to the searchlets is managed by a content broker process. Each searchlet includes methods for searching a particular category of content, generating an index of the content, performing a search on the index, and returning search results.

Abstract: A computer system and method for processing a search query directed to a database first inquires of multiple searchlet applications as to whether each respective searchlet is capable of performing the search query and then, if an affirmative response is received, passes the search query to the affirmatively responding searchlets, such that each searchlet returns a response comprising a single page, or no page at all if the search fails. Communication of the search query to the searchlets is managed by a content broker process. Each searchlet includes methods for searching a particular category of content, generating an index of the content, performing a search on the index, and returning search results.

Abstract: A computer system and method a computer system and method for processing a search query result includes identifying a plurality of result pages in response to a search query submitted from a computing device directed to a collection of pages, determining a relevancy ranking of the result pages in accordance with a multiple dimension parameter set that includes metrics relating to the search query itself and also includes metrics unique to a subscriber associated with the search query, and providing the result pages in accordance with the determined relevancy ranking. This provides an active ranking process for the search results before they are provided to a user.

Abstract: A computer system and method for processing a search query directed to a collection of pages includes receiving a search query of a user, identifying one or more result pages from the collection of pages in response to the search query, comparing keywords of the search query and a concept hierarchy of the result pages and user features against a set of bids for keywords, concepts, and user features that are submitted by advertisers to identify matching bids. A winning bid is selected from among the matching bids. The winning bid corresponds to an advertiser who may specify a sponsored link or sponsored page that is offered to the user in response to the search query.