Abstract: In one aspect, an example methodology includes, by a computing device, receiving information about a product from another computing device and determining one or more relevant features from the information about the product, the one or more relevant features influencing prediction of a sequence number. The method also includes, by the computing device, generating, using a machine learning (ML) model, a prediction of a sequence number for the product based on the determined one or more relevant features, the sequence number being indicative of a sequence within a product category tree. The method may also include, by the computing device, sending the prediction to the another computing device.

Abstract: A service monitoring system (SMS) transforms machine data from a monitored information technology (IT) environment into meaningful key performance indicators (KPIs) that each represents some measure of a service implemented by the environment on an ongoing basis. An overall health score for the service is determined from the KPIs and a prediction is made for a future health score. Data regarding a particular KPI and other KPIs is transformed to predicted future values for the particular KPI over a prediction window. Additionally, predicted future KPI scores may be used to determine a KPI impact score reflecting some measure of the degree to which the KPI, its related components, or processing related thereto, can influence the actual future health score. The KPI impact scores condition or direct the future operation of one or more SMS processes.

Abstract: Systems and methods are provided for integrated data analysis. At least one object that is responsive to a first search query is determined. The object is stored in an object model that is managed by a first computing platform, and the at least one object is associated with one or more properties. One or more data sets that are responsive to a second search query are determined. The data sets are managed by a second computing platform. The one or more data sets are determined related to the at least one object. The at least one object is updated to include at least one property that references at least one analysis that relies on the one or more data sets.

Abstract: Disclosed are techniques for trimming large clusters of related records. In one embodiment, a method is disclosed comprising receiving a set of clusters, each cluster in the clusters including a plurality of records. The method extracts an oversized cluster in the set of clusters and performs a breadth-first search (BFS) on the oversized cluster to generate a list of visited records. The method terminates the BFS upon determining that the size of the list of visited records exceeds a maximum size and generates a new cluster from the list of visited records and adding the new cluster to the set of clusters. By recursively performing BFS traverse over the oversized cluster and extracting smaller new clusters from it, the oversized cluster is eventually partitioned into a set of sub-clusters with the size smaller than the predefined threshold.

Abstract: Systems and methods are described for providing a user interface for display of metric data. A plurality of graphical controls can be displayed in the user interface to modify the generation of the metric data. For example, a first graphical control may enable a user to specify a processing criterion and a second graphical control may enable a user to specify an aggregation criterion and a grouping criterion. Based on the aggregation criterion, aggregated data can be generated from data processed using the processing criterion. The grouping criterion can be used to extract metric data from the aggregated data and a preview of the metric data can be displayed in the user interface.

Abstract: The system and methods described herein provide content recommendations to user equipment timed to reduce interruption of content. A content recommendation application detects output of first content and determines viewing metrics for the first content. Using the determined viewing metrics, the content recommendation application determines whether output of a content recommendation should be blocked. In response to determining that the viewing metrics indicate output of the content recommendation should be blocked, the content recommendation application blocks the content recommendation. Upon receiving an input changing output of the first content to output of a second content, the content recommendation application unblocks and outputs the content recommendation.

Abstract: Systems and methods are disclosed for allowing a user to view query results associated with a time range that is different from a time range indicated by a query. For example, a user interface (UI) data manager can receive a request for a panel of a workbook with a query that identifies the first time range. The UI data manager can obtain the panel, including the query and query results, and cause display of a panel view corresponding to the panel. The displayed query results may not correspond to the same time range as the literal time range indicated by the query. Rather, the query results may be the query results generated during an earlier time range that corresponds to the last time the query was run.

Abstract: Adaptable internet-of-things (IoT) computing systems and methods are disclosed for improved and flexible declarative control of streaming data, such as Big Data, in compute intense environments. A declarative scripting engine determines an input data stream based on a first declarative statement defining input data stream variable(s) of a declarative scripting language in declarative scripting module(s). The input data stream is bound to a stream controller and is ingested into computer memory. The declarative scripting engine generates a snapshot data stream based on a second declarative statement in the declarative scripting module(s), and is derived from the input data stream. A stream model is defined, where a listener entity comprising an event is triggered based on the input data stream or the snapshot data stream as ingested into the stream model.

Abstract: One example method includes receiving, as an input, an ML pipeline definition, identifying a group of layers required to be created for the ML pipeline definition, for one of more of the layers, receiving input concerning one or more characteristics of the layer, creating the layers for which input has been received, and packaging the created layers with the ML pipeline definition to create a production-ready ML model.

Abstract: A server comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to obtain transfer records identifying value transfers associated with an account of a user, the transfer records including a transfer amount, a transfer date and a transfer descriptor; group the transfer records based on predefined criteria; within at least one group of the transfer records, identify one or more representative transfer records based at least on stored selection criteria; obtain an image associated with at least one of the representative transfer records; and send, via the communications module and to a computing device associated with the user, a transfer record summary interface, the transfer record summary interface including the image associated with the at least one representative transfer record.

Abstract: Adaptable internet-of-things (IoT) computing systems and methods are disclosed for improved and flexible declarative control of streaming data, such as Big Data, in compute intense environments. A declarative scripting engine determines an input data stream based on a first declarative statement defining input data stream variable(s) of a declarative scripting language in declarative scripting module(s). The input data stream is bound to a stream controller and is ingested into computer memory. The declarative scripting engine generates a snapshot data stream based on a second declarative statement in the declarative scripting module(s), and is derived from the input data stream. A stream model is defined, where a listener entity comprising an event is triggered based on the input data stream or the snapshot data stream as ingested into the stream model.

Abstract: A computer implemented method includes supplying to a client device prompts for a first individual to specify matching criteria for a potential introduction to a second individual, where the matching criteria includes criterion to specify commitment disposition. Matching criteria is collected. Matches between the first individual and a pool of individuals are generated based upon the matching criteria. The matches are supplied to the client device. Match acceptances are collected from the client device. Network communication is enabled between the first individual and the second individual in response to a match between the first individual and the second individual and a match acceptance by at least one of the first individual and the second individual.

Abstract: Apparatus, articles of manufacture, and systems for audio matching based on a harmonogram are disclosed. An example apparatus includes memory, and hardware to execute instructions to determine a first dominant frequency in a time slice of audio data based on a segment of a first spectrogram associated with the audio data, the first dominant frequency indicative of a first harmonic component of the time slice, determine a second dominant frequency indicative of a second harmonic component of the time slice, the second harmonic component less dominant than the first, generate a query harmonogram of the audio data, different segments of the query harmonogram representative of aggregate energy values of dominant frequencies in different time slices of the audio data, the dominant frequencies including at least one of the first or second dominant frequencies, and identify query sound based on a comparison of the query harmonogram to a reference harmonogram.

Abstract: The present disclosure relates to systems, devices and methods for automatic subtitle display. In one embodiment, a method is provided that includes determining a conversation language for a space, and identifying display content presented in the space on a display. The method may also include requesting subtitle data for the display content based on the conversation language determined for the space, and controlling, by the control device, presentation of subtitle data for the display content for output on the device, wherein subtitle data presented is selected for the determined conversation language. Processes and configurations can include determining conversation language by one or more of speech recognition, facial recognition, and user profile settings. In addition, automatic subtitle display may be provided for displays in a vehicle cabin and viewing areas of a display device in general.

Abstract: The present disclosure provides an information analysis method, an electronic device, and a storage medium. The method includes: determining access frequency information for a candidate online resource in at least two time periods; determining a time factor of the candidate online resource based on the access frequency information for the candidate online resource in each time period; and determining an importance level parameter of each time period. The method also includes: determining a weight value of the candidate online resource based on the time factor; selecting N target online resources based on the weight value of the candidate online resource; and displaying related information of the N target online resources on a target page of a target application, wherein N is an integer.

Abstract: A system for procuring feedback from user when displaying content. The system implements operations for selecting a feedback mechanism based on prior user interactions with the feedback mechanism and other feedback mechanisms. The system uses the user responses to the feedback mechanism to better target content to the user and better determine which feedback mechanisms will provide the most valuable information over time.

Abstract: Systems and methods are provided for integrated data analysis. At least one object that is responsive to a first search query is determined. The object is stored in an object model that is managed by a first computing platform, and the at least one object is associated with one or more properties. One or more data sets that are responsive to a second search query are determined. The data sets are managed by a second computing platform. The one or more data sets are determined related to the at least one object. The at least one object is updated to include at least one property that references at least one analysis that relies on the one or more data sets.

Abstract: Disclosed is a secure document management system, for example, for documents pertaining to drug discovery. A document and its metainformation are obtained, and value features are extracted from the document based on identification of concepts associated with the document. An importance score of the document is determined based on the value features and the metainformation. A summarized view of the document is constructed based on the value features, the metainformation, the concepts and the importance score. A unique identifier is generated for the document and associated with the summarized view and the concepts of the document. A search query is processed, and the summarized view of the document is retrieved and displayed based on the query. A request for accessing the document is validated, and document access is allowed when the request is validated successfully. The document management may, for example, be facilitated using a blockchain platform.

Abstract: Techniques are described for automatically detecting and accommodating state changes in a computer-generated forecast. In one or more embodiments, a representation of a time-series signal is generated within volatile and/or non-volatile storage of a computing device. The representation may be generated in such a way as to approximate the behavior of the time-series signal across one or more seasonal periods. Once generated, a set of one or more state changes within the representation of the time-series signal is identified. Based at least in part on at least one state change in the set of one or more state changes, a subset of values from the sequence of values is selected to train a model. An analytical output is then generated, within volatile and/or non-volatile storage of the computing device, using the trained model.

Abstract: Methods, systems, and apparatus, including computer program products for identifying original content. In one aspect a method is described that includes identifying a first document in a collection of documents. The first document contains a content piece and the content piece does not occur in any earlier document in the collection. The first document is associated with a first author and the first author associated with a first rank. The first rank of the first author is determined using a score of the content piece. The score is a figure of merit of the content piece.

Abstract: An application is developed and built through a development platform. The application provides a user interface to serve user requests. The application provides expanded set of data entities stored at a back-end application. The application communicates with the development platform to request data from the back-end application. The development platform communicates with the back-end application through sending and receiving communication messages with a connection server. The expand data services are implemented on the connection server to access and provide data associated with a requested data entity. The provided data expand services are also serving delta data requests associated with updates on the back-end application. The delta data is related to a previous data download request at the back-end application. The provided data expand services, which support delta data querying, are utilized during initial data loading of the application.

Abstract: An Artificial Intelligence (AI) based resource identification system enables identifying available resources in response to receiving a request for resources. The request attributes are mapped to the attributes of the resources in a resource pool. Matching index scores are calculated and resources that match the request can be selected based on the matching index scores. If no resources are available suitable alternate resources with lower matching index scores are suggested so that a user has the choice to filter this alternate resources based on a threshold score. Particular suggestions to change one or more of the request attributes can be provided based on analysis of the mapping of the request and the resource attributes which enables the resource identification system to suggest changes to one or more of the skill attributes, level attributes, time attributes or location attributes of the request.

Abstract: Systems and methods of reducing latency in online network traffic are provided. The system can include a processor and a memory couple to the processor. The memory stores computer-executable instructions, which when executed by the processor, cause the processor to identify an indication of an interaction with a content item presented within a content slot of an information resource, generate a click identifier that uniquely identifies the interaction, transmit a first request comprising a click resource link including the click identifier to a click server, and transmit a second request to access the landing page of the content item independent of transmitting the first request. The second request comprises a generated resource link that identifies a resource identifier of the landing page of the content item and the click identifier.

Abstract: A method of event based object ranking is described. An object query is computed based upon a user action. The results of the query are ranked based on one or more events associated with objects in the results to create ranked results. The ranked results are provided to the user in response to the query.

Abstract: A processor-implemented method provides a calculated identity confidence score for an identity. The processor(s) in each of a plurality of decentralized identity providers calculate an identity confidence score of an entity. The processor(s) store the calculated identity confidence score in a blockchain. The processor(s) retrieve the calculated identity confidence score from the blockchain. The processor(s) provide the calculated identity confidence score to a requestor, which is a computer-based system that performs an action based on the provided calculated identity score.

Abstract: Some embodiments of the invention provide a method that detects document attribute preferences for viewing documents (e.g., articles) on a device. The method displays several documents on a display screen of the device, with each document having one or more associated attributes. In some embodiments, different documents can be associated with the same attribute or the same number of attributes, or can be associated with different attributes or a different number of attributes. In some embodiments, the method detects viewer interactions with one or more displayed documents, and based on these interactions, computes attribute scores for several attributes associated with a number of the documents. The computed attribute scores identify a preference ranking for attributes associated with the documents. Some embodiments use the computed attribute scores to select subsequent documents for display on the device and/or to arrange the display of subsequent documents on the device.

Abstract: Computerized systems and methods are provided for integrating copy data tokens with source code repositories. A first command associated with the version control system stores in the memory a copy of source code and a copy of the data token from the remote repository, comprising source data and mount data. A second command associated with the version control system is executed to create a version of the source code stored in the memory. Based on the execution of the second command a working copy of the copy data is created based on the data token for use with the version of the source code, comprising creating a copy of the copy data from the data source based on the source data, and mounting the working copy to the device based on the mount data, thereby automatically managing the copy data for the version control system.

Abstract: The method includes: identifying a type of a data item in which the data is stored, using an overlap pattern indicating the type of the data item and a method for identifying the type; processing the data stored in the data item, using calculation designated for each type of the data item, and adding at least one or more new data items to the type of the data item storing the processed data; and calculating scores obtained by quantifying an amount of information displayed on a display screen for the data items including the added data items and arranging the data items on the basis of the scores.

Abstract: Relevant messages, or “hero results”, which are not ranked at the uppermost part of a time-based listing of search results are identified and such hero results can be displayed apart from the time-based listing of search results. A user can be provided with messages in a time-based presentation as well as messages in a relevance-based presentation. The user can be presented with the most relevant messages from a set of message generated from a search query, even where the most relevant messages are not the most recent ones.

Abstract: A method for ranking genealogical records includes using a machine learning model to rank multiple searched records based on relevancy. The relevancy may be determined by identifying features included in a record and scaling each feature by a corresponding weight factor. In addition, a method for training a machine learning model and increasing the convergence speed of the training is described. To train the model, a machine learning process is used to optimize a ranking performance metric. A set of weights corresponding to multiple features are used to rank multiple past search records in a training set. An initial set of the weights are set by the expectation values of the weights. The weights are incrementally changed to optimize the ranking performance metric. The step size of the increment is determined based on the sensitivity of the ranking performance metric relative to the step size.

Abstract: The present invention provides a computing device including a system ranking unit, a subset ranking unit, an evaluation module of computing units and a decision module. The system ranking unit is configured to rank at least one or more elements to acquire a first ranking based on features of at least one set of data. The subset ranking unit is configured to select a subset from the elements, and is configured to re-rank elements in the subset to acquire a second ranking. The computing units are configured to calculate a relevance of consistency between the first ranking and the second ranking, and are configured to calculate a second rating associated with a first identification message. The decision module is configured to determine a data access level of the first identification message, and configured to access the data based on the data access level.

Abstract: One or more techniques and/or systems for sending push notifications of content items to client devices are provided herein. For example, an input received from a user can be expanded to obtain an expanded user interest. Content items from a content source can be filtered based upon the expanded user interest to obtain a set of filtered content items. A push notification can be constructed to comprise one or more of the filtered content items from the set of filtered content items. The push notification can be sent to a client device of the user for display as a device alert notification. In an example, the filtered content items, within the push notification, may be ranked based upon a ranking metric.

Abstract: One general aspect is described that includes a computer implemented method for generating a pattern graph. The method may include accessing data pertaining to a corpus of web documents. The data may include a plurality of query-document pairs. The method may also include identifying at least one query pattern in the plurality of query-document pairs and the query pattern may be associated with a portion of web documents in the corpus. The method may also include identifying a plurality of sub-phrases in the at least one query pattern, determining, in the corpus of web documents, a plurality of other query patterns that include at least one of the plurality of sub-phrases, and assigning an classifier to the at least one query pattern and each of the plurality of other query patterns that include at least one of the sub-phrases.

Abstract: Raw data is received that characterizes each of a plurality of transactions. The data can be received, for example, via an adapter coupled to at least one data source. At least one first table is populated using the raw data according to a normalized data model. At least one second table is then populated, by applying a key figure data model to transform and enrich the at least one first table, such that it is optimized for data analysis operations. The at least one second table can include a subset of data stored in the at least one first table and additional enrichment data. At least one data analysis operation can later be initiated on the data populated in at least one second table to characterize one or more aspects of the transactions. Data can be provided that characterizes the initiated at least one data operation.

Abstract: A system described herein includes a receiver component that receives a first dataset, wherein the first dataset comprises temporal dynamics pertaining to a document that is accessible by a search engine, wherein the temporal dynamics comprise an identity of a term corresponding to the document and an indication that the term has been subject to change over time. The system also includes a weight assignor component that assigns a relevance weight to the document based at least in part upon the temporal dynamics pertaining to the document, wherein the relevance weight is utilized by the search engine to assign a ranking to the document with respect to at least one other document when the search engine retrieves the document.

Abstract: Extending the work in 2D/3D graphical databases, the present invention discuss constraints in high dimensional spaces, its efficient storage; relational algebra. The relational algebra includes queries like finding polytopes disjoint or intersecting with the given polytope; or finding a subset or superset of the polytope. This invention also presents methods to generate new information equivalent constraints set from existing constraints sets, presents new kinds of joins and a rich relational algebra of the constraints. Different methods such as distortion, rotation and shape scaling transformations are employed to obtain the information equivalent different sets of constraints. Also, this invention discusses queries to obtain the information equivalent constraints set of the given constraints set along with a new query language, when the data is in memory.

Abstract: A computer implemented method, a computerized system and a computer program product for detecting scalable trends in a personalized search context. The computer implemented method comprising obtaining search results matching a search query, wherein the search query is a query defined by a user, wherein the search results comprise occurrences of events, wherein each occurrence is associated with a timestamp. The method further comprises calculating, by a processor, in response to obtaining the search results, trend scores for the events based on the occurrences comprised by the search results. The method further comprises providing an output to the user based on the trend scores.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: In at least one embodiment, a profile/content system generates, accesses, and/or serves a compilation profile for targeting content to identifiable communication devices (“ICDs”). The compilation profile can include data associated with a user of an ICD, and the profile/content system obtains the data from multiple data sources. The data sources can include a particular ICD and can also include particular applications running on the ICD and other data sources such as web sites and data aggregators that store data associated with the IDC user. The profile/content system can operate in a variety of modes depending upon a type of request received by the profile/content system. Exemplary modes are: (1) a direct content provision mode, (2) an indirect content provision mode, and (3) a compilation profile provision mode. In at least one embodiment, in the direct content provision mode, the profile/content system receives a request for content directly via an ICD.

Abstract: An engine and method for tracking the influence of an entity operating within a social network are presented. A query containing social network content is received. A database for entries referencing the social network content is searched, and interactions between an entity participating within the social network and the social network content are identified. A dynamic interaction network (DIN) of a plurality of the entities is identified and a dynamic influence score for an entity in the query specific DIN is calculated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ranking search results. One of the methods includes receiving a search result obtained in response to a query, wherein the search result identifies a resource and has an associated score S. A determination is made that users prefer newer resources over older resources for the query and that the resource is a new resource. A new score S? is associated with the resource in place of S, based on the determination that users prefer newer resources over older resources for the query and that the resource is a new resource.

Abstract: An exemplary posted information sharing system includes: an information-processing system; and a server, wherein the information-processing device includes an executing unit that executes an application program, and an accessing unit that accesses an item of posted information depending on the application program that is being executed or whose execution is suspended, the posted information being stored on the server, and the server includes a providing unit that provides access to the posted information by the information-processing device, in response to a request from the accessing unit.

Abstract: Methods, systems, and computer-storage media for improving the freshness, or the apparent freshness, of search results are described. In an embodiment, the first portion of search results presented on a search results page are based on responsiveness to the search query and a second portion of results describe only recently published documents that are responsive to the search query. In an embodiment, a more recent version of the document, which is not directly used to determine responsiveness, is used to build the caption for a search result. Another way to make search results appear fresh is to include a publication time within the search result caption. In one embodiment, the publication time is generated by calculating a point in time between when a document is first added to a search index and the previous time the search engine visited the site where the document was found.

Abstract: An apparatus includes at least one computer readable storage medium that bears instructions executable by a processor to configure the processor for accessing one or more electronically stored calendars of events pertaining to at least one user to obtain first calendar information from the one or more electronically stored calendars. The instructions also configure the processor for accessing at least one social network service for which the user has an account to obtain second calendar information from the site, consolidating the first and second calendar information to render consolidated information, presenting at least some of the consolidated information on a user device associated with the user, and presenting a recommendation for action pertaining to the event along with at least one event in the consolidated information.

Abstract: The present disclosure relates to a mobile terminal and a photo search method thereof capable of searching and displaying photos shared by the cloud and SNS systems in connection with a specific location on a camera view using augmented reality. To this end, according to the present disclosure, when a photo search function is selected on an augmented reality based camera view, photo information associated with at least one location on which the focus of the camera view is placed is searched from a network system to sort and display the searched photo information on the camera view, thereby allowing the user to conveniently search photos associated with old memories.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating real-time search results. In one aspect, a method includes receiving a search query from a client; determining that real time search results should be included in a user interface document responsive to the search query; generating the user interface document, including client software to cause the client to present real time search results for the query; and sending the user interface document to the client.

Abstract: Embodiments of the present invention provide an approach for identifying a most recent version of an electronic file (e.g., prior to or while the electronic file is being opened). In one embodiment, an application programming interface (API), plug-in, or the like, can enable both file management tools and on-line repositories to exchange file information. Along these lines, this approach can be especially useful for common business assets such as textual documents, spreadsheets, and presentations. Moreover, this approach is a “pro-active” function in that it does not require the user to consciously seek out and determine if a newer version is available. The implementation of the method performs this function automatically.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for filtering posts. One of the methods includes filtering a set of pages that are maintained in a social networking platform and in which a user has expressed interest based on one or more user-identified categories to identify a subset of the pages that are associated with the one or more identified categories. The method includes identifying posts in a data store associated with the pages in the subset. The method includes identifying a trending post from among the identified posts based on a measure of popularity of the identified posts. The method also includes sending data to a user device to cause the user device to display at least the trending post and some of the other identified posts with the posts ordered in the display with the trending post presented first and additional posts ordered chronologically.

Abstract: Search systems and methods for searching structured data and enhancing the relevancy of search results provided to a requesting user or application. Enhanced search results are provided by searching a cache of a user's most recently used items to eliminate or reduce search indexing latency. Also, more relevant search results are provided by re-ranking results based on use history, data security models and/or hierarchical user role models. Further, enhanced search results are provided by including user information in the search index.

Abstract: An example device includes a memory and one or more processors configured to receive an indication of a first set of characters, responsive to determining that a predetermined amount of time has elapsed since the indication of the first set of characters was received, execute a query generated based on the first set of characters, to determine a typing speed associated with the first set of characters, and to generate, based on the predetermined amount of time and the typing speed, an adjusted amount of time, the adjusted amount of time being different from the predetermined amount of time. The processor(s) are further configured to receive an indication of a second set of characters, and responsive to determining that the adjusted amount of time has elapsed since the indication of the second set of characters was received, execute a second query generated based on the second set of characters.