Abstract: A computer-implemented method, computer system, and computer program product for contextualizing searches in a collaborative session having two or more users. The method may include generating, by a processor, one or more keywords from user context sources of the collaborative session. Users engaged in the collaborative session may use computing devices interconnected with each other via a collaborative tool. The user context source may comprise a document, a file, a webpage, a search history, or an application. Context of the collaborative session, having a start and stop, may be established using a natural language processing system. The method may include adding one of the one or more keywords to the search string of one of the users participating in the collaborative session. In some embodiments, one user may be an expert user whose user context source may be the only user context source collected and analyzed during the collaborative session.

Abstract: A computer system includes a processor configured to predict a level of commonality between a first website and a second website. The computer system is further configured to automatically apply cached search data input at the first website to the second website based at least in part on the level of commonality. A display unit displays the second website along with the cached search data.

Abstract: A method of checking a link in a body of text comprises receiving the text and detecting a link to an external source within the received text. At least a portion of the received text is selected for analysis and one or more important keywords within the selected portion of the received text are determined. Text is obtained from the external source by accessing the link. At least a portion of the obtained text is selected for analysis and one or more important keywords within the selected portion of the obtained text are determined. The more important keywords within the selected portion of the original received text are compared with the important keywords within the selected portion of the obtained text from the link, and an output is provided depending upon the result of the comparison of the one or more important keywords within the selected portion of the received text with the one or more important keywords within the selected portion of the obtained text.

Abstract: A computer system includes a processor configured to predict a level of commonality between a first website and a second website. The computer system is further configured to automatically apply cached search data input at the first website to the second website based at least in part on the level of commonality. A display unit displays the second website along with the cached search data.

Abstract: A computer-implemented method, computer system, and computer program product for contextualizing searches in a collaborative session having two or more users. The method may include generating, by a processor, one or more keywords from user context sources of the collaborative session. Users engaged in the collaborative session may use computing devices interconnected with each other via a collaborative tool. The user context source may comprise a document, a file, a webpage, a search history, or an application. Context of the collaborative session, having a start and stop, may be established using a natural language processing system. The method may include adding one of the one or more keywords to the search string of one of the users participating in the collaborative session. In some embodiments, one user may be an expert user whose user context source may be the only user context source collected and analyzed during the collaborative session.

Abstract: A method of checking a link in a body of text comprises receiving the text and detecting a link to an external source within the received text. At least a portion of the received text is selected for analysis and one or more important keywords within the selected portion of the received text are determined. Text is obtained from the external source by accessing the link. At least a portion of the obtained text is selected for analysis and one or more important keywords within the selected portion of the obtained text are determined. The more important keywords within the selected portion of the original received text are compared with the important keywords within the selected portion of the obtained text from the link, and an output is provided depending upon the result of the comparison of the one or more important keywords within the selected portion of the received text with the one or more important keywords within the selected portion of the obtained text.