Abstract: Some embodiments provide a method for generating a graphical user interface (GUI) for a research system. The method receives a request from a user of the research system for information about a particular category. The method generates a chart that displays a set of events associated with the particular category over a particular period of time. The method incorporates the chart into a GUI for the particular category for transmission to the user. Some embodiments generate a list of events associated with the particular category and generate a GUI that displays the list of the events. Each event is represented in the list by a title of a document identified by the research system as representative of the event.

Abstract: Some embodiments provide a method for defining a content relevance model for determining whether a content segment is relevant to a particular category. The method receives a first set of content segments that contain content relevant to the particular category and a second set of content segments that contain content not relevant to the particular category. The method identifies a set of key word sets more likely to appear in the first set of content segments than the second set of content segments. The method defines a content relevance model that comprises a set of groups of word sets and a score for each group, each of the groups of word sets comprising a key word set from the set of key word sets and at least one word set found in a context of the key word set in at least one of the received content segments.

Abstract: Some embodiments provide a method for generating a graphical user interface (GUI) for a research system. The method receives a request from a user of the research system for information about a particular category. The method generates a chart that displays a set of events associated with the particular category over a particular period of time. The method incorporates the chart into a GUI for the particular category for transmission to the user. Some embodiments generate a list of events associated with the particular category and generate a GUI that displays the list of the events. Each event is represented in the list by a title of a document identified by the research system as representative of the event.

Abstract: Some embodiments provide a method for generating a graphical user interface (GUI) for a research system. The method receives a request from a user of the research system for information about a particular category. The method generates a chart that displays a set of events associated with the particular category over a particular period of time. The method incorporates the chart into a GUI for the particular category for transmission to the user. Some embodiments generate a list of events associated with the particular category and generate a GUI that displays the list of the events. Each event is represented in the list by a title of a document identified by the research system as representative of the event.

Abstract: Some embodiments provide a method for generating a graphical user interface (GUI) for a research system. The method receives a request from a user of the research system for information about a particular category. The method generates a chart that displays a set of events associated with the particular category over a particular period of time. The method incorporates the chart into a GUI for the particular category for transmission to the user. Some embodiments generate a list of events associated with the particular category and generate a GUI that displays the list of the events. Each event is represented in the list by a title of a document identified by the research system as representative of the event.

Abstract: Some embodiments provide a method for defining a content relevance model for determining whether a content segment is relevant to a particular category. The method receives a first set of content segments that contain content relevant to the particular category and a second set of content segments that contain content not relevant to the particular category. The method identifies a set of key word sets more likely to appear in the first set of content segments than the second set of content segments. The method defines a content relevance model that comprises a set of groups of word sets and a score for each group, each of the groups of word sets comprising a key word set from the set of key word sets and at least one word set found in a context of the key word set in at least one of the received content segments.

Abstract: Tagged sound file libraries are searched using an iterative search application. A searcher specifies a multi-term search query which is directed to the sound libraries. Responsive audio files from the libraries are ranked by confidence levels for the occurrence of sounds corresponding to searched terms, weighted by user-determined search term priorities. High-ranking candidate audio files are presented to the user who is able to indicate a preference or a disfavoring of the candidates. Based on the feedback, the application adjusts the priorities of the individual search terms in the search query, adds or removes search terms from the query, and performs a new search with a revised set of search terms. The results are ranked using the adjusted priorities. The iterative search locates files with desired sounds that conform to the initial search or that have evolved from it under the user's direction.

Abstract: Some embodiments provide a method for determining a relatedness of content items to categories. The method identifies a particular content item, a relevancy score associated with the particular content item, and a set of categories to which the particular content item is classified as related. Based on a set of glossaries associated with the set of categories, the method calculates a set of affinity scores that each represents a degree of relevancy between the particular content item and a category in the set of categories. The method modifies the relevancy score associated with the particular content item based on the calculated set of affinity scores.

Abstract: Some embodiments provide a method for determining a relatedness of content items to categories. The method identifies a particular content item, a relevancy score associated with the particular content item, and a set of categories to which the particular content item is classified as related. Based on a set of glossaries associated with the set of categories, the method calculates a set of affinity scores that each represents a degree of relevancy between the particular content item and a category in the set of categories. The method modifies the relevancy score associated with the particular content item based on the calculated set of affinity scores.

Abstract: Some embodiments provide a method for defining a content relevance model for determining whether a content segment is relevant to a particular category. The method receives a first set of content segments that contain content relevant to the particular category and a second set of content segments that contain content not relevant to the particular category. The method identifies a set of key word sets more likely to appear in the first set of content segments than the second set of content segments. The method defines a content relevance model that comprises a set of groups of word sets and a score for each group, each of the groups of word sets comprising a key word set from the set of key word sets and at least one word set found in a context of the key word set in at least one of the received content segments.

Abstract: Some embodiments provide a method for defining a content relevance model for determining whether a content segment is relevant to a particular category. The method receives a first set of content segments that contain content relevant to the particular category and a second set of content segments that contain content not relevant to the particular category. The method identifies a set of key word sets more likely to appear in the first set of content segments than the second set of content segments. The method defines a content relevance model that comprises a set of groups of word sets and a score for each group, each of the groups of word sets comprising a key word set from the set of key word sets and at least one word set found in a context of the key word set in at least one of the received content segments.

Abstract: A method, system and computer program product for handling an electronic message in a data processing system are disclosed. The method comprises receiving an electronic message and storing the electronic message in a message store. An address of the electronic message is stored in a primary queue and the address of the electronic message is stored in one or more configured shadow queues. Responsive to successful completion of one or more tasks related to the electronic message, the address of the electronic message is deleted from the associated queue, and responsive to completion of all tasks related to the electronic message, the electronic message is deleted from the message store.

Abstract: Some embodiments provide a method for evaluating a content segment for relevancy to several of categories. The method retrieves the content segment. For each of the several categories, the method determines the relevancy of the content segment to the category by using a scoring model for the category. The scoring model accounts for (i) the presence of key word sets in the content segment and (ii) the context of the key word sets in the content segment. For each of the several categories, the method tags the content segment when the content segment is determined as relevant to the category.

Abstract: Some embodiments provide a machine-implemented method. The method identifies an event for a particular category based on a number of documents classified as relevant to the particular category in a particular period of time. Based on content of the documents classified as relevant to the particular category, the method identifies a set of keywords for the event. The method uses the keywords to automatically select a representative document for the event. Some embodiments store a link to the representative document and automatically determine whether the particular document is still accessible at the link. When the document is no longer accessible at the link, the method replaces the document with a backup document as the representative document for the event.

Abstract: Some embodiments provide a method for identifying an event for a particular category. The method classifies several documents as relevant to several different categories. The method identifies a number of documents relevant to the particular category for a current time period and a background time period. Based on a comparison of the number of documents from the current time period relevant to the particular category and the number of documents from the background time period relevant to the particular category, the method identifies an event for the category for the current time period. Some embodiments calculated a score for the event, and normalize the score based on an average number of documents relevant to each of a set of related categories including the particular category.

Abstract: Systems for detecting Nagling on a TCP network connection are disclosed. Embodiments may generally include a system with a Nagle detection threshold determiner for determining a Nagle detection threshold based on the network connection. The system may also generally include a Nagle detection module in communication with the Nagle detection threshold determiner for observing a small segment at a second time following an acknowledgement indicative of a Nagling condition at a first time, wherein the Nagle detection module also may detect a Nagling condition if the difference between the second time and the first time is less than or equal to the Nagle detection threshold. The system may be a receiver computer or a network computer. The system may also generate and transmit a notification of the Nagling condition, increment a Nagle monitor counter, or save an indication of the Nagling condition in a log.

Abstract: Systems and media for detecting outbound Nagling on a TCP network connection are disclosed. Embodiments may include creating by a sender computer one or more segments to be transmitted to a receiver computer and determining by the sender computer whether any of the one or more segments to be transmitted are small segments and determining whether a previously transmitted small segment is unacknowledged by the receiver computer. If the previously transmitted small segment is unacknowledged by the receiver computer and at least one of the segments to be transmitted is a small segment, embodiments may also include detecting by the sender computer a Nagling condition on the network connection. Further embodiments may include modifying a Nagle algorithm configuration of the network connection in response to the detected Nagling condition by turning off the Nagle algorithm or reducing a delayed acknowledgement timer for the network connection.

Abstract: Systems and media for detecting outbound Nagling on a TCP network connection are disclosed. Embodiments may include creating by a sender computer one or more segments to be transmitted to a receiver computer and determining by the sender computer whether any of the one or more segments to be transmitted are small segments and determining whether a previously transmitted small segment is unacknowledged by the receiver computer. If the previously transmitted small segment is unacknowledged by the receiver computer and at least one of the segments to be transmitted is a small segment, embodiments may also include detecting by the sender computer a Nagling condition on the network connection. Further embodiments may include modifying a Nagle algorithm configuration of the network connection in response to the detected Nagling condition by turning off the Nagle algorithm or reducing a delayed acknowledgement timer for the network connection.

Abstract: Methods for detecting outbound Nagling on a TCP network connection are disclosed. Embodiments may include creating by a sender computer one or more segments to be transmitted to a receiver computer and determining by the sender computer whether any of the one or more segments to be transmitted are small segments and determining whether a previously transmitted small segment is unacknowledged by the receiver computer. If the previously transmitted small segment is unacknowledged by the receiver computer and at least one of the segments to be transmitted is a small segment, embodiments may also include detecting by the sender computer a Nagling condition on the network connection. Further embodiments may include modifying a Nagle algorithm configuration of the network connection in response to the detected Nagling condition by turning off the Nagle algorithm or reducing a delayed acknowledgement timer for the network connection.

Abstract: Methods for detecting outbound Nagling on a TCP network connection are disclosed. Embodiments may include creating by a sender computer one or more segments to be transmitted to a receiver computer and determining by the sender computer whether any of the one or more segments to be transmitted are small segments and determining whether a previously transmitted small segment is unacknowledged by the receiver computer. If the previously transmitted small segment is unacknowledged by the receiver computer and at least one of the segments to be transmitted is a small segment, embodiments may also include detecting by the sender computer a Nagling condition on the network connection. Further embodiments may include modifying a Nagle algorithm configuration of the network connection in response to the detected Nagling condition by turning off the Nagle algorithm or reducing a delayed acknowledgement timer for the network connection.