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: Aspects of a storage device are provided that handle host commands associated with active and inactive zones using a hybrid L2P mapping system. The storage device includes a NVM, a controller, a first volatile memory and a second volatile memory. The controller allocates, as a superblock, one or more physical blocks respectively in one or more memory dies of the NVM, receives write commands including logical addresses associated with active zones, and stores in an L2P mapping table L2P address mappings of these logical addresses to physical addresses associated with either volatile memory or the superblock. The controller refrains from storing L2P address mappings for inactive zones, instead storing in a superblock mapping table a mapping of superblocks to inactive zones in response to respective zone finish commands. As a result, L2P mapping table sizes are reduced, zone read, reset, and TTR performance are increased, and reduced WAF is achieved.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for automatically detecting and reconstructing patterns in digital images. The disclosed system determines structurally similar pixels of a digital image by comparing neighborhood descriptors that include the structural context for neighborhoods of the pixels. In response to identify structurally similar pixels of a digital image, the disclosed system utilizes non-maximum suppression to reduce the set of structurally similar pixels to collinear pixels within the digital image. Additionally, the disclosed system determines whether a group of structurally similar pixels define the boundaries of a pattern cell that forms a rectangular grid pattern within the digital image. The disclosed system also modifies a boundary of a detected pattern cell to include a human-perceived pattern object via a sliding window corresponding to the pattern cell.

Abstract: Systems and methods are disclosed herein for modifying the spelling of a list of names based on a score associated with a first name. The systems and methods may receive a media asset, determine a first source of data corresponding to the media asset, and receive, from the first source of data, a list of names, each name in the list of names being associated with a respective copy of the media asset. The systems and methods may generate a reduced list of names, retrieve a criterion from storage, determine a set of scores corresponding to each name from the reduced list of names based on the criterion, select a first name from the reduced list of names based on the set of scores, and modify the spelling of a second name in the list of names based on the first name.

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: Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

Abstract: Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user’s behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user’s behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

Abstract: Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

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 data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a request from a requester for a superblock, determine that one or more blocks of a die of the superblock are expected to fail, and either replace the one or more blocks of the die with another one or more blocks from a different die or add the another one or more blocks from the different die and disable the one or more blocks of the die, and provide the superblock to the requester. The superblock provided to the requester is erased prior to the providing and is the same size as an original superblock.

Abstract: Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user’s behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user’s behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a request from a requester for a superblock, determine that one or more blocks of a die of the superblock are expected to fail, and either replace the one or more blocks of the die with another one or more blocks from a different die or add the another one or more blocks from the different die and disable the one or more blocks of the die, and provide the superblock to the requester. The superblock provided to the requester is erased prior to the providing and is the same size as an original superblock.

Abstract: Systems and methods are provided herein for flexibly using trending topics as parameters for recommending media assets that are related to a viewed media asset. A media guidance application may determine that a user has viewed a media asset. The media guidance may identify a plurality of attributes corresponding to the viewed media asset and determine that a respective attribute of the plurality of attributes matches a trending topic. The media guidance application may update a set of weightings corresponding to the plurality of attributes by increasing a weighting corresponding to the respective attribute and adjust a recommendation for a media asset different from the viewed media asset based on the updated set of weightings. The media guidance application may generate for display the recommendation of the media asset different from the viewed media asset.

Abstract: Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

Abstract: Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

Abstract: This disclosure involves applying an edit to objects in a vector design corresponding to a selected level of an object hierarchy. A system accesses a vector design comprising first, second, and third objects, each of the objects having a respective axis coordinate. The system assigns the first object and the second object to or within a common level in an object hierarchy based on determining that a similarity score comparing the two objects exceeds a threshold and that a modification causing the axis coordinates of the two objects to be adjacent maintains an overlap between the third object and the two objects. The system receives a user input selecting the first object and expands the selection to the second object based on the second object being assigned to the common level. The system applies an edit to the first and second objects based on the expansion of the selection.

Abstract: Systems and methods are provided herein for flexibly using trending topics as parameters for recommending media assets that are related to a viewed media asset. A media guidance application may determine that a user has viewed a media asset. The media guidance may identify a plurality of attributes corresponding to the viewed media asset and determine that a respective attribute of the plurality of attributes matches a trending topic. The media guidance application may update a set of weightings corresponding to the plurality of attributes by increasing a weighting corresponding to the respective attribute and adjust a recommendation for a media asset different from the viewed media asset based on the updated set of weightings. The media guidance application may generate for display the recommendation of the media asset different from the viewed media asset.

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: 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: This disclosure involves applying an edit to objects in a vector design corresponding to a selected level of an object hierarchy. A system accesses a vector design comprising first, second, and third objects, each of the objects having a respective axis coordinate. The system assigns the first object and the second object to or within a common level in an object hierarchy based on determining that a similarity score comparing the two objects exceeds a threshold and that a modification causing the axis coordinates of the two objects to be adjacent maintains an overlap between the third object and the two objects. The system receives a user input selecting the first object and expands the selection to the second object based on the second object being assigned to the common level. The system applies an edit to the first and second objects based on the expansion of the selection.