Abstract: Systems and associated methods for clustering a plurality of nodes based on connectivity among the plurality of nodes, determining relevant content of the clusters, and applying knowledge regarding the relevant content are described. The nodes can include for example web-based documents such as web pages. The clusters can include for example groups of web pages that are linked together, as via hyperlinks. The relevant content can include one or more topics associated with the web page, as for example determined via text mining. Applying the knowledge regarding the relevant content can include for example using the one or more topics associated with the web pages to augment search results and/or conduct contextual advertising.

Abstract: A method, computer program product, and system for performing a dynamic social content selection. According to an embodiment, a method may include determining, via one or more computing devices, a plurality of status indicators available to be associated with social content associated with a first user. The method may also include defining one or more rules for the plurality of status indicators based on, at least in part, a recipient characteristic. The method may further include selecting one of the plurality of status indicators to associate with the content for a second user based on the one or more rules. The method may further include providing the content and the selected one of the plurality of status indicators to the second user.

Abstract: A method, computer program product, and system for performing a dynamic social content selection. According to an embodiment, a method may include determining, via one or more computing devices, a plurality of status indicators available to be associated with social content associated with a first user. The method may also include defining one or more rules for the plurality of status indicators based on, at least in part, a recipient characteristic. The method may further include selecting one of the plurality of status indicators to associate with the content for a second user based on the one or more rules. The method may further include providing the content and the selected one of the plurality of status indicators to the second user.

Abstract: A method, computer program product, and system for performing a dynamic social content selection. According to an embodiment, a method may include determining, via one or more computing devices, a plurality of status indicators available to be associated with social content associated with a first user. The method may also include defining one or more rules for the plurality of status indicators based on, at least in part, a recipient characteristic. The method may further include selecting one of the plurality of status indicators to associate with the content for a second user based on the one or more rules. The method may further include providing the content and the selected one of the plurality of status indicators to the second user.

Abstract: A method, computer program product, and system for performing a dynamic social content selection. According to an embodiment, a method may include determining, via one or more computing devices, a plurality of status indicators available to be associated with social content associated with a first user. The method may also include defining one or more rules for the plurality of status indicators based on, at least in part, a recipient characteristic. The method may further include selecting one of the plurality of status indicators to associate with the content for a second user based on the one or more rules. The method may further include providing the content and the selected one of the plurality of status indicators to the second user.

Abstract: Systems and methods for managing acronym expansions are described. In one example, the method comprises creating from the plurality of identified expansions a case-insensitive group of identified expansions, wherein each identified expansion of the case-insensitive group match in a case-insensitive manner the other identified expansions of the case-insensitive group. The method also comprises assigning a weight to the text source location for each identified expansion in the case-insensitive group. The method further comprises creating from the case-insensitive group at least one case-sensitive group of identified expansions, wherein each identified expansion of the case-sensitive group of identified expansions match in a case-sensitive manner the other identified expansions of the group of case-sensitive identified expansions.

Abstract: Systems and associated methods for clustering a plurality of nodes based on connectivity among the plurality of nodes, determining relevant content of the clusters, and applying knowledge regarding the relevant content are described. The nodes can include for example web-based documents such as web pages. The clusters can include for example groups of web pages that are linked together, as via hyperlinks. The relevant content can include one or more topics associated with the web page, as for example determined via text mining. Applying the knowledge regarding the relevant content can include for example using the one or more topics associated with the web pages to augment search results and/or conduct contextual advertising.

Abstract: Methods and/or systems/apparatus using speech for marking and subsequently identifying one or more items having electronically-readable identifiers respectively marked thereon comprise the following steps and/or perform the following operations. First, at least a portion of the electronically-readable identifier marked on an item is inputted. A user then inputs a spoken utterance that corresponds to the item. Next, the electronically-readable identifier inputted from the item is associated with the spoken utterance input from the user. Thus, when the electronically-readable identifier is inputted a next time, the spoken utterance associated with the electronically-readable identifier may be outputted. The present invention may also be embodied as an article of manufacture comprising a machine readable medium containing one or more programs which when executed implement the steps/operations of the invention.

Abstract: A method and apparatus for enabling existing application programs for operation in speech recognition environments. Existing applications programs written with a dynamically linked library or object library, with no speech recognition capability, are capable of accepting input from a speech recognition without modification. An alternate dynamic library or object library is provided that supports the same interface or objects used by the original program. The alternate library is written so that it is aware of and receives input from the speech recognition system. The alternate library passes the input to the application program using the existing interfaces.

Abstract: Methods and/or systems/apparatus using speech for marking and subsequently identifying one or more items having electronically-readable identifiers respectively marked thereon comprise the following steps and/or perform the following operations. First, at least a portion of the electronically-readable identifier marked on an item is inputted. A user then inputs a spoken utterance that corresponds to the item. Next, the electronically-readable identifier inputted from the item is associated with the spoken utterance input from the user. Thus, when the electronically-readable identifier is inputted a next time, the spoken utterance associated with the electronically-readable identifier may be outputted. The present invention may also be embodied as an article of manufacture comprising a machine readable medium containing one or more programs which when executed implement the steps/operations of the invention.