Abstract: Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

Abstract: Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

Abstract: Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

Abstract: Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

Abstract: Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

Abstract: Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

Abstract: Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.