Abstract: In one example, documents that are examined by a search process may be scored in a manner that is specific to a domain. A domain may be a substantive area, such as medicine, sports, etc. Different scoring approaches that take aspects of the domain into account may be applied to the documents, thereby producing different scores than might have been produced by a simple comparison of the terms in the query with the terms in the documents. These domain-based approaches may take a query into account in scoring the documents, or may be query-independent. Each approach may be implemented by a scorer. The combined output of the scorers may be used to generate a score for each document. Documents then may be ranked based on the scores, and search results may be provided.

Abstract: In one example, documents that are examined by a search process may be scored in a manner that is specific to a domain. A domain may be a substantive area, such as medicine, sports, etc. Different scoring approaches that take aspects of the domain into account may be applied to the documents, thereby producing different scores than might have been produced by a simple comparison of the terms in the query with the terms in the documents. These domain-based approaches may take a query into account in scoring the documents, or may be query-independent. Each approach may be implemented by a scorer. The combined output of the scorers may be used to generate a score for each document. Documents then may be ranked based on the scores, and search results may be provided.

Abstract: In one example, documents that are examined by a search process may be scored in a manner that is specific to a domain. A domain may be a substantive area, such as medicine, sports, etc. Different scoring approaches that take aspects of the domain into account may be applied to the documents, thereby producing different scores than might have been produced by a simple comparison of the terms in the query with the terms in the documents. These domain-based approaches may take a query into account in scoring the documents, or may be query-independent. Each approach may be implemented by a scorer. The combined output of the scorers may be used to generate a score for each document. Documents then may be ranked based on the scores, and search results may be provided.

Abstract: A modeling system enriched with information from a single source (or multiple sources) that allows for the intelligent extension, formulation or reformulation of a request into various processes including but not limited to transmission, discovery, notification, searching, filtering and storing processes is provided. The innovation builds a network of connected information in a specific domain (or group of domains). Additionally, the system enhances the quality and specificity of the results for queries made in various systems including, but not limited to, search engines.

Abstract: A computer system that facilitates presentation of data to a user. A search engine component receives and executes queries on behalf of a user. Results of the query are received and analyzed by an analysis component that filters and organizes the results as a function of relevancy of the data to the user and associated context of the query. A user interface component presents the data to the user in a manner that facilitates easy consumption/processing of data by respective users. The user interface component can dynamically modify display settings as a function of content and type of information displayed, user state, user preferences, explicit or implicit learning, user intent, etc.