Abstract: Systems and methods are described herein for updating links between keywords associated with a trending topic. Control circuitry may identify a plurality of communications associated with a plurality of users, the plurality of communications being related to a topic. The communications may comprise, for example, emails, text messages, online social media posts, websites or portions of a website, or any other online communication. The control circuitry may determine whether the topic is trending and increase a strength of association between a first symbol associated with the topic and a second symbol associated with the topic such that when a search query is received that includes the first symbol, search results related to the second symbol have a higher probability of being returned.

Abstract: The disclosure is directed to a system and method of cache management for a data storage system. According to various embodiments, the cache management system includes a hinting driver, a priority controller, and a data scrubber. The hinting driver generates pointers based upon data packets intercepted from data transfer requests being processed by a host controller of the data storage system. The priority controller determines whether the data transfer request includes a request to discard a portion of data based upon the pointers generated by the hinting driver. If the priority controller determines that data transfer request includes a request to discard a portion of data, the data scrubber locates and removes the portion of data from the cache memory so that the cache memory is freed from invalid data (e.g. data associated with a deleted file).

Abstract: Systems and methods described herein provide for determining alternative names for a target name. A plurality of candidate alternative names is retrieved. For example, if the target name is “bush”, the candidate alternative names may include “George W. Bush”, “George H. W. Bush”, “Jeb Bush”, “Bush, Ill. (location)”, and “Bush (plant)”. A plurality of information sources associated with the target name are identified (e.g., documents, media assets or other information associated with “bush”). A first value and a second value are computed for a first candidate name (e.g., “George W. Bush”) and second candidate name (“George H. W. Bush”), respectively, based on how many of the identified information sources refer to the first and second candidate names, respectively. In response to determining that the first value exceeds the second value, the first candidate name, instead of the second candidate name, is assigned as an alternative name for the target name.

Abstract: A block I/O interface for a HBA is disclosed that dynamically loads regions of a SSD of the HBA to a DRAM of the HBA. One embodiment is an apparatus that includes a host system and a HBA. The HBA includes a SSD and DRAM. The host identifies a block I/O read request for the SSD, identifies a region of the SSD that corresponds to the read request, and determines if the region is cached in the DRAM. If the region is cached in the DRAM, then the HBA copies data for the read request to the host memory and a response to the read request utilizes the host memory. If the region is not cached, then the HBA caches the region of the SSD in the DRAM, copies the data for the read request to the host memory, and a response to the read request utilizes the host memory.

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Abstract: The disclosure is directed to a system and method of cache management for a data storage system. According to various embodiments, the cache management system includes a hinting driver, a priority controller, and a data scrubber. The hinting driver generates pointers based upon data packets intercepted from data transfer requests being processed by a host controller of the data storage system. The priority controller determines whether the data transfer request includes a request to discard a portion of data based upon the pointers generated by the hinting driver. If the priority controller determines that data transfer request includes a request to discard a portion of data, the data scrubber locates and removes the portion of data from the cache memory so that the cache memory is freed from invalid data (e.g. data associated with a deleted file).

Abstract: The disclosure is directed to a system and method of cache management for a data storage system. According to various embodiments, the cache management system includes a hinting driver and a priority controller. The hinting driver generates pointers based upon data packets intercepted from data transfer requests being processed by a host controller of the data storage system. The priority controller determines whether the data packets are associated with at least a first (high) priority level or a second (normal or low) priority level based upon the pointers generated by the hinting driver. High priority data packets are stored in cache memory regardless of whether they satisfy a threshold heat quotient (i.e. a selected level of data transfer activity).

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Abstract: A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

Abstract: A method for using speech disfluencies detected in speech input to assist in interpreting the input is provided. The method includes providing access to a set of content items with metadata describing the content items, and receiving a speech input intended to identify a desired content item. The method further includes detecting a speech disfluency in the speech input and determining a measure of confidence of a user in a portion of the speech input following the speech disfluency. If the confidence measure is lower than a threshold value, the method includes determining an alternative query input based on replacing the portion of the speech input following the speech disfluency with another word or phrase. The method further includes selecting content items based on comparing the speech input, the alternative query input (when the confidence measure is low), and the metadata associated with the content items.

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.