Abstract: A search request including user information and query information sent by a user is received. A search is conducted according to the query information to acquire a first search result associated with the query information. User relationship data associated with the user information is acquired. A second search result associated with both the query information and the user relationship data is acquired. A display order for various search result items in the first search result and the second search result is set. The first search result and the second search result are sent to the user after the display order is set. The techniques of the present disclosure provide abundant personalized search data for users, and meanwhile avoid poor user experience caused by excessive personalization.

Abstract: An application programming Interface (API) is downloaded to wireless user equipment (UE). The API enables the UE to automatically detect the presence of one or more access points (AP) in a venue and to transmit identification information to the access point to authenticate the UE. The identification/authentication may occur whenever the UE comes within range of any of the APs in the venue. A plurality of venues may be coupled to a Cloud network with the authentication information stored on the Cloud network. In this manner, whenever the UE enters any of the venues, the UE is automatically authenticated when it comes within range of any AP within any of the venues. The venue may use the API to provide advertising to the UE. The Cloud network may aggregate data from a plurality of data sources to provide targeted advertising via the API to the UE.

Abstract: A method is used to data mine input vectors. A data source receives input vectors. A sketch feature generator converts the input vectors into corresponding sketch feature vectors, where each sketch feature vectors has a number of dimensions that is less than a number of dimensions of the corresponding input vector. A similarity comparator compares each sketch feature vectors against a set of parameters. A decision loop determines results of similarities based upon comparison of each sketch feature vectors against the set of parameters.

Abstract: A mechanism for extracting system characteristics from an unstructured data format, a semi-structured data format, or a structured data format is disclosed. A processing device may receive information associated with a computing system in an unstructured data format. A content type of the information in the unstructured data format may be determined. A parser corresponding to the content type may be identified. A system characteristic from the information in the unstructured data format may be extracted using the parser. The extracted system characteristic may be stored in a common format.

Abstract: A method and indexing system indexes the content of a body of documents into a content index, and the metadata of the documents into a metadata index which is a parallel index to the content index. The metadata is copied into a data store that is easily accessible by the indexing system and is stored in native form. The indexing system can dynamically re-index the metadata from the native metadata in the data store to produce a new metadata index which is used to replace the original metadata index. Search queries received by a search engine associated with the indexing system are applied to both the content and metadata index and the results are merged for return.

Abstract: Example embodiments of the present invention relate and a method and an apparatus for managing a short hash handle. The method including receiving an I/O including a first identifier for a data block and examining the first identifier in comparison with a second identifier. The data block identified in the I/O then may be managed according to the first identifier and the second identifier.

Abstract: In one example in accordance with the present disclosure, a method may include receiving code corresponding to an HTML page structure including a plurality of executable JavaScript code and enumerating a branching path in the JavaScript code. The method may include determining a branch of the branching path that would not execute during normal operation of a browser executing the JavaScript code. The method may also include generating an artificial condition for the branch and executing the branch using the artificial condition.

Abstract: Systems and methods for management of an advertising exchange using email data are described. Systems and methods may include receiving one or more inputs of audience data from one or more publishers; transforming the one or more inputs into information in a unified customer database; receiving a query from a front end query tool; accessing information in the unified customer database responsive to the query; and providing the responsive information to the front end query tool.

Abstract: A verification architecture described according to embodiments of the present invention validates changes made to metadata and may comprise one or more subsystems and phases. According to some embodiments, the “mkfs” volume creation utility works in cooperation with the device driver to create a file system volume by means of reservation and initialization space for metadata structures inside the device's partition that is reserved for the specific file system volume. The storage device uses a verified area legend when checking write requests after the file system volume has been created. The verified area legends may be stored in a dedicated partition or inside the master boot record (MBR) or Globally Unique Identifier (GUID) partition table (GPT) or special memory chip (NAND flash, for example). Write requests that overlap with any extent of reserved metadata area must be verified to prevent metadata corruption.

Abstract: Technologies for displaying sort results on a computing device includes determining a plurality of sort criteria of the set of data items to be sorted and associating a visual property to each sort criteria. A sort priority of sort criteria may also be determined. The set of data items are sorted based on the sort criteria and sort priority. The sort result is displayed using the visual properties of identify the sorting order of each corresponding sort criteria. The visual properties may include, for example, the display location, size, color, animation, or other visual aspect of the data items.

Abstract: Disclosed are systems and methods for dynamic joining of database tables. The systems and methods can include: selecting a first table from a plurality of tables; selecting a second table from the plurality of tables; joining the first table and the second table to create a temporary table; and storing, in a memory of a computing device, the temporary table and the temporary skew value. The first table can have a first skew value. The second table can have a second skew value. The second skew value can be similar to the first skew value. The temporary table can have a temporary skew value.

Abstract: A travel search machine generates a trip object defined by a corresponding trip identifier. The trip object may have a corresponding trip data structure to which one or more search results may be assigned by a user. For example, the travel search machine may be configured to receive a trip identifier as a submission from a user device, generate a trip data structure corresponding to the trip identifier, and responsive to a received command from a user device, assign one or more search results to the trip data structure, such that reference to the trip data structure via the received trip identifier causes a presentation of at least some of the one or more search results assigned to the trip data structure.

Abstract: Systems, methods, and non-transitory computer readable media are configured to generate a hash value of an evaluation content item. Hash values of a plurality of content items associated with location information are generated. A pairwise distance value between the hash value of the evaluation content item and a hash value of each content item of the plurality of content items assigned to a group of a plurality of groups is determined. A score for each group of the plurality of groups is generated based on a combination of distance values for the group. At least one location associated with the evaluation content item is determined based on scores for the plurality of groups.

Abstract: Among other disclosures, a method may include identifying content in an electronic communication, the content including a link. The method may include characterizing content associated with the link and storing the characterization. Upon detecting a match of a characterization, presenting one or more of the communication or portion thereof, the link or content associated with the link.

Abstract: In one embodiment, a device in a network inserts a profile tag into an address request sent by an endpoint node in the network to a lookup service. The lookup service is configured to identify one or more addresses with which the endpoint node is authorized to communicate based on a profile for the endpoint node associated with the inserted profile tag. The device receives an address response sent from the lookup service to the endpoint node that indicates the set of one or more addresses with which the endpoint node is authorized to communicate. The device determines whether a communication between the endpoint node and a particular network address is authorized using the set of one or more addresses with which the endpoint node is authorized to communicate. The device blocks the communication based on a determination that the particular network address is not in the set of one or more addresses with which the endpoint node is authorized to communicate.

Abstract: Systems and methods include: collecting digital threat scores of an incumbent digital threat machine learning model; identifying incumbent and successor digital threat score distributions; identifying quantiles data of the incumbent digital threat score distribution; collecting digital threat scores of a successor digital threat machine learning model; calibrating the digital threat scores of the successor digital threat score distribution based on the quantiles data of the incumbent digital threat score distribution and the incumbent digital threat score distribution; and in response to remapping the digital threat scores of the successor digital threat score distribution, publishing the successor digital scores in lieu of the incumbent digital threat scores based on requests for digital threat scores.

Abstract: In an embodiment, a computer-implemented method aggregates medical data from a plurality of source providers. In the method, medical data is received from a source provider. This medical data may be associated with patient-identification information. In order to aggregate this data with other data about the same patient, this data is then reconciled with existing patient medical data records in a medical records database to identify a master patient to whom the received medical data relates. The medical records database includes a plurality of different types of patient medical data records, and each data record is associated with a corresponding time and a corresponding source. Verification is performed to confirm that the source provider associated with the received medical data is authorized to add medical data related to the identified master patient, and finally a new medical data record containing the received medical data is written to the database.

Abstract: Logical data containers of a data storage system are associated with policies that require data transformation of data to be stored in the logical data containers. When a data object is received to be stored in a logical data container, the data object is transformed in accordance with a policy on the logical data container. Transformation of the data object may include encryption. The logical data container may also be associated with a cryptographic key used to perform a required transformation.

Abstract: Computerized search methods and systems generally include presenting, to a user, a computer interface for specifying one or more search terms for a search query and presenting at least one selectable item corresponding to at least one of art M score and a cluster focus index (CFI) score filter for the search query. The methods and systems include generating an amended search query based on a selected item; and performing a search using the amended search query. The M score is calculated using the formula M score=count (alpha)+CFI (1-alpha), where the count is the overall number of members on a cluster focus map that has engaged with a target.

Abstract: A method and system is provided for classifying and labeling information content and also for profiling a user for accessing the information content, both using a coordinated labeling technique so that content from multiple sources may be searched, identified and/or presented to the user according to the user's profile. This technique provides an ongoing update of information content and sources while filtering out unnecessary information that is irrelevant to the user's profile, resulting in focused availability of information to the user. The user profile is matched with content of interest and matching content information may automatically be updated and made available to a user, in conformity with the user's profile. Content providers may now jointly use a common labeling scheme to improve the experience of their users and to provide content providers a technique to associate users with common facets of classification.

Abstract: Implementations for query data splitting are disclosed. In one example, the method includes receiving, by a processing device, a first query and a second query, determining that the second query is a subset of the first query, determining a first set of attributes associated with the first query and a second set of attributes associated with the second query, and determining, by the processing device, whether to submit the second query or the first query to a database in view of the first set of attributes and the second set of attributes.

Abstract: Partitioned key-value stores with one-sided communications are provided for secondary global key lookup by range-knowledgeable clients. A secondary global lookups is performed in a partitioned key-value store by receiving a request from an application for a secondary global key; accessing metadata to identify a first server storing the secondary global key; instructing the identified first server to store a first value corresponding to the requested secondary global key into a memory address of the client; and returning program control to the application, wherein the first server identifies a primary key corresponding to the requested secondary global key and instructs a second server storing the corresponding primary key to store a second value corresponding to the primary key into the memory address of the client. The second server stores the second value corresponding to the primary key into the first memory address of the client.

Abstract: Techniques are disclosed for identifying the same online user across different communication networks, and further creating a unified profile for that user. The unified profile is an aggregation of publicly available user profile attributes across the different networks. In an embodiment, the techniques are implemented as a computer implemented methodology, including: (1) feature space analysis to identify relevant user features that allows for clusterization of the given target network(s), (2) unsupervised candidate selection to identify one or more candidate user profiles from each target network and that are likely belonging to a target user or so-called queried user, and (3) supervised user identification to identify a likely matching user profile for that target user from each target network. A unified user profile can then be built from data taken from all matched user profiles, and effectively allows a marketer to better understand that user and hence execute more informed targeting.

Abstract: A user may submit a search query to a search engine. The search engine may process the search query and generate a set of results. Each of the items searched by the search engine may have been pre-assigned to a category in a category tree. Previous interactions by other users with the items after similar queries may have been recorded. The search engine may identify categories based on the distribution of the interacted-with results among the categories. The category tree may be analyzed at different levels, based on the entropy observed at each level. A level with low entropy may be chosen, and categories at that level used to constrain the query.

Abstract: Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. The reader application may be customizable around one or more characteristics of the user of the device. In one embodiment, the type and number of articles provided to the device and displayed in the reader application may be based on the determination of a category or type of usage of the application is performed by the user. Further, the determination of the use of the reader application on the device is performed by and contained within the device such that usage information is not shared with overall article providing system. In another embodiment, the article providing system and/or device may determine recommendations to provide to a user of the reading application. These recommendations may be based on one or more selected interests or topics of the user of the reading application.

Abstract: A storage system includes a plurality of storage devices, and a server including a memory and an interface. The server is configured to store, in the memory, each of data pieces that are received through the interface from a client as a series of data to be written, in association with a single write command or a series of write commands received through the interface from the client, for each data piece, determine a target storage device and a logical address thereof at which the data piece is to be written, based on an identifier of the data piece received in association with the data piece through the interface from the client, and carry out, in parallel, writing of the data pieces stored in the memory at the determined logical addresses.

Abstract: Techniques for optimizing search result snippet selection. In one aspect, the techniques include receiving a query and identifying a set of documents matching the query. A set of one or more snippet field types for a snippet representing a corresponding document of the set of documents is selected based at least in part on a snippet selection model. The snippet selection model is adjusted to reinforce or discourage selection of the set of one or more snippet field types for future queries based on the user click.

Abstract: Various embodiments of the present disclosure provide a coarse grained client interface for accessing complex data structures in a storage system. Complex data structures may take the form of business objects (BOs), which may be hierarchically structured. Various embodiments allow for creating, accessing and manipulating one or more BO instances in a storage system using deeply structured data types corresponding to the entire hierarchy of a BO instance or to a substructures of a BO instance.

Abstract: Aggregation of content based on user-generated topics is provided. Users may associate one or more topics with content items stored across various workloads and repositories. A topic may be a word or phrase of the user's choice, and may be utilized for discoverability of information and aggregation of content items. Topics and content items associated with topics may be acted on (e.g., a user may add or delete topics to associate with a content item, associate or disassociate content items with a topic, embed a set of content items or a stream of content items associated with a topic into other experiences, follow topics, etc.). Content items identified as related to a specific topic may be automatically suggested as possible content items of interest to the user. Additionally, when a user follows a topic, the user may be notified of any changes that occur to the topic.

Abstract: Techniques are described for providing a non-blocking application object framework allowing parallelization of operation and function calls throughout an application executing within the framework. In one example, a dependency model associated with an application in a non-blocking application object framework is identified, where the application is associated with a plurality of operations and the dependency model defines at least one dependency between at least two of the operations. At runtime of the non-blocking application object framework, the identified dependency model is interpreted. An optimized execution plan of the application is automatically generated in the non-blocking application object framework based on the interpreted dependency model, wherein at least a first portion of the operations of the application are optimized in a sequential execution order based on dependencies defined in the dependency model.

Abstract: Methods are disclosed for identity key management in networked application execution. In one embodiment, an identifier request is transmitted from a client system to a server system, in which an identity key value in the identifier request is blank. Upon detecting the blank identity key value at the server system, the server system operates to generate a new identity key value and an identifier for the new identity key value. The new identity key value and the identifier for the new identity key value are transmitted from the server system to the client system. The new identity key value is stored in a local store of the client system. The local store of the client system is secured by a passcode and persists data through power cycling of the client system. The identifier is used to track execution of a networked application in an anonymous execution mode.

Abstract: Various embodiments of the present invention provide a system and method for open digital media distribution. According to one embodiment, a system is provided which performs the operations of: creating a profile (e.g., artist or label profile) based on an input from a first party; receiving a digital media upload from the first party, wherein the digital media upload contains media content and the first party has a property interest in the media content; receiving from the first party an assignment of a payment account to the digital media upload, such that money from sales relating to the digital media upload is deposited into the payment account; receiving from the first party a sales parameters associated with the digital media upload; presenting through a computing device the digital media upload for sale to a second party; and selling the digital media upload to the second party through a computing device.

Abstract: A method of executing an action related to data input by a user via a personal computing device is disclosed. The method involves receiving first input data via a keyboard, and associating the first input data with a secondary application available to the user via the personal computing device by causing an icon to be displayed on a display device for selection, the icon associated with the secondary application. The method also involves monitoring for user selection of the icon, and, in response to detecting user selection of the icon, activating the secondary application to generate second data contextually associated with the secondary application for display on the display device. Apparatuses and systems are also disclosed.

Abstract: A technology for multi-objective optimization is provided. In accordance with one aspect, historical data and real-time data of a network of interest are provided in an integrated database. User input containing a problem to be solved and user preference for solving the problem is received. An optimization function is identified for generating at least one solution to the problem. The optimization function is identified based on the user preference. In response to identifying a single objective optimization function, the optimization function is initiated from a single objective optimization function library. In response to identifying a multi-objective optimization function, the optimization function is initiated from a multi-objective optimization function library. The optimization function retrieves the historical and real-time data based on the user preference for solving the problem. A result comprising at least one solution to the problem is provided.

Abstract: A computing device is described that includes a presence-sensitive display component, at least one processor, and a memory. The memory stores instructions that when executed cause the at least one processor to output, for display, a graphical keyboard comprising a plurality of keys and a search element, and determine, based at least in part on a selection of one or more keys from the plurality of keys, a query suggestion. The instructions, when executed, further cause the at least one processor to receive an indication of input selecting the search element, and responsive to receiving the indication of input, output, for display, an updated graphical keyboard that includes a selectable link associated with the query suggestion.

Abstract: A framework is provided for associating images with topics utilizing embedding learning. The framework is trained utilizing images, each having multiple visual characteristics and multiple keyword tags associated therewith. Visual features are computed from the visual characteristics utilizing a convolutional neural network and an image feature vector is generated therefrom. The keyword tags are utilized to generate a weighted word vector (or “soft topic feature vector”) for each image by calculating a weighted average of word vector representations that represent the keyword tags associated with the image. The image feature vector and the soft topic feature vector are aligned in a common embedding space and a relevancy score is computed for each of the keyword tags. Once trained, the framework can automatically tag images and a text-based search engine can rank image relevance with respect to queried keywords based upon predicted relevancy scores.

Abstract: A system is disclosed for monitoring a channel passing information which includes an identifying designation. A channel monitor is coupled to the channel and configured to provide on an output all information passing on the channel. A manifest engine is coupled to the channel monitor to receive the information passing on the channel and to an operator console to receive an information manifest table. The information manifest table contains at least one identifying designation. The manifest engine compares the information received with the information in the information manifest table and only provides on the output that information having an identifying designation that matches an identifying designation included within the information manifest table. A storage server is coupled to the manifest engine and configured to receive and store the information provided from the manifest engine.

Abstract: Embodiments of the invention relate to systems, methods, and computer program products for a high performance data copy utility that is operable to dynamically copy data from a source database to a target database in an object-relational database environment. High performance is realized by defining, prior to copying the data, performance boundaries of the source and target environment, such as the quantity of data (i.e., commit points) and quantity of parallel processes (i.e., parallel threads) applicable to a copy job. Moreover, the copying schema of the present invention allows for data to be copied from one database to another database without the need higher level privileges, such as database administrator (DBA) or data definition language (DDL), which would otherwise require changing the structure of the database. In this regard, embodiments of the present invention rely solely on lower-level data manipulation language (DML) privileges configured for inserting, updating and deleting data structures.

Abstract: An approach is provided for contextual content suggestion. A recommendation platform processes and/or facilitates a processing of contextual information associated with at least one device to determine one or more locations, one or more contextual parameter values, or a combination thereof. The recommendation platform also determines popularity data associated with one or more content items with respect to the one or more locations, the one or more contextual parameter values, or a combination. The popularity data is determined from one or more other devices sharing at least substantially the one or more locations, the one or more contextual parameter values, or a combination thereof. The recommendation platform then causes, at least in part, a recommendation of the one or more content items to the at least one device based, at least in part, on the popularity information.

Abstract: Systems and methods are provided for generating a perspective view of item images and/or determining collections of similar items. For example, a set and/or collection of item images may be presented in a perspective view. One or more options may be selected by a user to update the set and/or collection of items and/or images. An updated set and/or collection may be determined, for example, by clustering the items and/or comparing items with the base item. One or more dimensions and/or attributes may be used to cluster and/or graph the items to determine new collections of items.

Abstract: A system and method is described for database split generation in a massively parallel or distributed database environment including a plurality of databases and a data warehouse layer providing data summarization and querying functionality. A database table accessor of the system obtains, from an associated client application, a query for data in a table of the data warehouse layer, wherein the query includes a user preference. The system obtains table data representative of properties of the table, and determines a splits generator in accordance with one or more of the user preference or the properties of the table. The system generates, by the selected splits generator, table splits dividing the user query into a plurality of query splits, and outputs the plurality of query splits to an associated plurality of mappers for execution by the associated plurality of mappers of each of the plurality of query splits against the table.

Abstract: Arrangements described herein related to performing a dynamic search. A search term can be received and a format of the search term can be identified. Based on the identified format of the search term, a field of a plurality of records can be selected to search, the field having a format matching the identified format of the search term. The field can be searched to identify at least a first of the plurality of records that at least partially matches the search term. At least a portion of at least the first of the plurality of records that at least partially matches the search term can be presented to a user.

Abstract: A document marking projection system receives a target document comprising text content, determines a set of similar documents using an index of stored documents, where the set of similar documents are similar to the target document, and selects a first similar document from the set of similar documents that is most similar to the target document. The document marking projection system determines one or more portions of text content in the first similar document that are different from respective one or more portions of text content in the target document, determines a first location of a first marking within the first similar document, determines a projected marking for the target document in view of one or more differences between the first portion of the text content in the first similar document and a respective portion of the text content in the target document, and stores the projected marking for the target document.

Abstract: Technical solutions are described for augmenting cognitive scope of a programming object in a programming development system. For example, a computer-implemented method includes determining, by a processor, a scope of a programming object in a computer program. The method further includes generating, by the processor, a cognitive programming user-interface mask corresponding to a programmer profile. The method further includes applying, by the processor, the cognitive programming user-interface mask to a user-interface of the programming development system, the user-interface displaying an indication of the scope of the programming object.

Abstract: A system and method for domain name system (DNS) restore points are presented. A DNS record database is configured to store a plurality of DNS records for a plurality of domain name. A host computer server is configured to detect a change in a DNS record for a domain name, and, upon detecting the change in the DNS record, encode, without any user input, at least one DNS setting from the DNS record for the domain name into a data storage file. The host computer server is configured to prompt a user to provide a description, and store the data storage file containing the at least one DNS setting in a database in association with the description.

Abstract: A method includes dividing a video uploaded to a user's client device into scenes that include one or more frames. The method also includes generating a digital summary for each scene based on content associated with a respective portion of the video spanned by the scene. The method also includes identifying a matching portion of the uploaded video containing third-party content base on a match between the digital summary associated with the matching portion and the digital summary associated with the third-party content. The method also includes identifying an original portion of the video containing the original content and a usage policy associated with a content owner of the third-party content. The method also includes generating a degraded video based on the usage policy, by applying a quality reduction to the matching portion.

Abstract: In an end user application running on a computer, for the purpose of collaborative modification of shared electronic documents, a graphical user interface is provided that facilitates storing an electronic document in shared storage. This graphical user interface includes a graphical element that conveys information about shared status of the currently accessed electronic document to the end user. Through input devices of the end user computer, an end user can manipulate this graphical element. Certain manipulations of this graphical element instruct the end user computer to store the currently accessed electronic document in shared storage if that electronic document has not yet been stored in shared storage. After the electronic document is stored in shared storage, the graphical user interface facilitates sharing of the electronic document with others. A graphical user interface that allows an electronic document to be quickly shared improves user efficiency and productivity in collaborative authoring.

Abstract: A measurement of an effect of a topic on an aggregate of numerical information related to a set of evaluations of a specific product can be produced. A subset of the set of the evaluations can be determined. The subset can be defined by inclusion of textual information about the topic. The specific product can be a good, a service, an application, the like, or any combination thereof. An aggregate of the numerical information related to the subset can be determined. Based on the aggregate of the numerical information related to the subset, the measurement of the effect of the topic on the aggregate of the numerical information related to the set can be calculated. The measurement can be included in a file to be transmitted to a computer system to be used to control operations performed by the computer system to produce a modification to the specific product.

Abstract: The techniques and systems described herein reduce the amount of storage resources consumed by containers by creating placeholder files in container namespaces. The placeholder files are associated with read-only access to corresponding shared files stored in a read-only namespace. The read-only namespace can be accessible to multiple different containers. This increases the storage density for a storage unit because more containers can be executed from the same storage unit. The techniques and systems described herein further reduce the amount of storage resources consumed by containers by creating placeholder directories. The techniques and systems described herein also reduce the amount of memory storage resources consumed by containers to execute files by using a shared execution memory area.

Abstract: This disclosure relates generally to data processing, and more particularly, to methods and systems for generation and transmission of information based on real-time and historical data. In one embodiment, a hardware processor-implemented method for generating and transmitting information is provided. The method comprises: receiving real-time from a plurality of data sources, extracting information items from the real-time data, wherein each of the plurality of information items is associated with an attribute of a first type, an attribute of a second type, and a first score; determining a first attribute of the first type associated with a maximum first sum of aggregated first scores, a second attribute of the second type associated with a minimum second sum of aggregated first scores; determining a first information item for transmission based on the first and second attributes; and providing the first information item for transmission to a target location.