Abstract: In some implementations, a method includes, for each of multiple hosts: identifying visual leaf pages hosted by the host that are each a web page including image data defining an image or a video that is prominently displayed relative to all other content of the web page, identifying a set of hub pages hosted by the host that each link to at least one of the visual leaf pages through an image-based link, and for each hub page, generating cluster data representing the visual leaf pages to which the hub page links by determining, for each visual leaf page, a set of feature values that each indicate pre-defined features of the visual leaf page, and generating, from the sets of feature values, a set of central feature values as the cluster data for the hub page that indicate a central tendency of each respective pre-defined feature.

Abstract: An online system provides a user-generated media platform that enables the gamification of content generated on the site. The online system maintains a page of content including content items and a link to a third party system that is external to the online system. When the user selects the link, the user is directed to the third party system with which the user interacts to complete tasks. When the third party system determines one or more conditions are satisfied based on the user interactions with content from the third party system, the third party system updates the page of content maintained by the online system. For example, the third party system provides additional content items to the online system for display via the page of content or unlocks content items stored by the online system for presentation by the page of content.

Abstract: Reductions in latencies and improvements in computational efficiency when analyzing data stored in a relational graph by integrating analytical capabilities into graph queries. Instead of a user having to run a graph query and then perform analytics on the resulting subgraph via separate requests, the user is enabled to run analytics at the time the graph query is run via a single request to the database maintaining the relationship graph, which improves the computationally efficiency of analyzing relational graphs and thereby improves the functionality of the computing devices hosting the relational graphs and running the queries and analytics.

Abstract: Obtaining feedback for an event can include receiving, using a processor, sensor data for a plurality of attendees of the event, determining, using the processor, sentiments, of the attendees, for the event from the sensor data, validating, using the processor, the sentiments of the attendees based upon a comparison of the sensor data with historical data for the plurality of attendees, and outputting, using the processor, the validated sentiments.

Abstract: Provided is an information processing apparatus including a processing unit configured to evaluate an evaluation target on a basis of target data regarding the evaluation target acquired from blockchain data circulated on a peer-to-peer network.

Abstract: A method is described for processing keyed data items that are each associated with a value of a key, the keyed data items being from a plurality of distinct data streams, the processing including collecting the keyed data items, determining, based on contents of at least one of the keyed data items, satisfaction of one or more specified conditions for execution of one or more actions and causing execution of at least one of the one or more actions responsive to the determining.

Abstract: An image retrieval system may receive an image query that includes image data. The image retrieval system may determine an image descriptor based on the image data. The image retrieval system may obtain a text descriptor associated with the image descriptor in the descriptor repository. The image retrieval system may generate a document query comprising a search parameter, the search parameter including the text descriptor. The image retrieval system may identify, in a document database, text documents based on the document query. The text documents may be associated with document identifiers. The image retrieval system may obtain, from the file mapping repository, image identifiers associated with the document identifiers. The image query result from the image retrieval system may reference images associated with the image identifiers.

Abstract: A method for ranking events in media collections includes designating a media collection, using a processor to cluster the media collection items into a hierarchical event structure, using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure, using the processor to determine a ranking of events based on the count of sub-events within each event, and associating the determined ranking with each event in the media collection.

Abstract: An electronic message including text generated by a first user can be identified and at least a second user can be identified as a recipient. At least one n-gram contained in the text of the electronic message can be identified by performing natural language processing on the text. A first user profile of the first user and a second user profile of the second user can be accessed. Based on the first user profile and the second user profile, at least one user context of the first user, not shared with the second user, relating to the computer-understandable meaning of the at least one n-gram can be determined. The electronic message as presented to the second user can include the at least one user context of the first user, not shared with the second user, relating to the computer-understandable meaning of the at least one n-gram.

Abstract: A method, computer program product, and computing system for source separation is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes first audio encounter information obtained from a first encounter participant and at least a second audio encounter information obtained from at least a second encounter participant. The first audio encounter information and the at least a second audio encounter information are processed to eliminate audio interference between the first audio encounter information and the at least a second audio encounter information.

Abstract: Embodiments of this application provide an information push method performed at a computing device. The computing device determines second feature information of a target object associated with a terminal that is communicatively connected to the computing device according to user-behavioral data of the target object and first feature information of to-be-pushed information, and then user-preference level information according to the second feature information of the target object and the first feature information of the to-be-pushed information. The computing device then orders the to-be-pushed information according to the user-preference level information into target information. Finally, the computing device pushes the target information to the target object. Therefore, according to the technical solutions provided in the embodiments of this application, a coverage range of information can be expanded to some extent, thereby improving the preciseness of information pushing.

Abstract: Described herein is a method and system of geometrically encoding data including partitioning data into a plurality of semantic classes based on a dissimilarity metric, generating a subspace formed by first and second data elements, the first and second data elements being included in first and second numbers of partitioned semantic classes, encoding the first data element with respect to the second data element such that the generated subspace formed by the first data element and the second data element is orthogonal, computing a weight distribution of the first data element with respect to the second data element, the weight distribution being performed for each of the first number of semantic classes and the second number of semantic classes, and determining a dominant semantic class corresponding to an ordered sequence of the first data element and the second data element, the dominant semantic class having a maximum weight distribution.

Abstract: A system and computer implemented method are provided. The method comprises maintaining a database of patent portfolios and a database of patents, with each patent stored in the database of patents being associated with one or more patent portfolios stored in the database of patent portfolios. The method includes receiving a search query associated with a first patent portfolio; searching the first portfolio as a function of the search query; generating a seed set of search results including one or more patent claims associated with the search query, the patent claims including terms from the search query; automatically generating an expanded set of search results including one or more patent claims further associated with the search query or associated with the patent claims in the seed set of search results; and mapping the one or more patent claims to a patent concept.

Abstract: An information processing device including a decision unit that determines, on the basis of a predetermined reference, a shared object arranged in a virtual space that is generated for communication between a first user and a second user on the basis of a sensing result of a first real space including at least one first actual object in relation to the first user and a sensing result of a second real space including at least one second actual object in relation to the second user.

Abstract: Techniques are disclosed for creating high value data assets from undervalued data. In one example, a method identifies at least one data asset associated with an enterprise which has a lower non-economic valuation score as compared with one or more other data assets associated with the enterprise and is determined to be undervalued. The method then combines the at least one identified data asset with at least one of the one or more other data assets to form a composite data asset, wherein the composite data asset has a higher non-economic valuation score as compared to the at least one identified data asset.

Abstract: Facilitating of content entity annotation while maintaining joint quality, coverage and/or completeness performance conditions is provided. In one example, a non-transitory computer-readable medium comprises computer-readable instructions that, in response to execution, cause a computing system to perform operations. The operations include aggregating information indicative of initial entities for content and initial scores associated with the initial entities received from one or more content annotation sources and mapping the initial scores to respective values to generate calibrated scores. The operations include applying weights to the calibrated scores to generate weighted scores and combining the weighted scores using a linear aggregation model to generate a final score. The operations include determining whether to annotate the content with at least one of the initial entities based on a comparison of the final score and a defined threshold value.

Abstract: Devices often receive content items to be saved for later presentation to a user. In some instances, the content of the message is analyzed to retrieve supplemental information from external data sources, such as a map to a location discussed in a message. However, such supplementing often fails to reflect the personal context of the content item to the user, who may not easily recall the associated personal context when the content item is later presented. Instead, for a content item to be saved, a device may evaluate personal data sources to identify the personal context of the content item to the user, and add personal context annotations to a content item record of the saved content item. Later, during a presentation of the content item to the user, the personal context annotations may be included as a reflection of the personal context of the content item to the user.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform configured to provide one or more computerized tools that facilitate development and management of data projects, including implementation of extended computerized query language syntax to analyze, for example, multiple tabular data arrangements in data-driven collaborative projects. For example, a method may include generating data to present a query editor in a data project interface, receiving data representing a first query command to select one or more subsets of data, identifying in the data representing a second query command a subset of datasets from which to extract the data, and applying a query based on a first query command and a second query command.

Abstract: Various methods and systems for determining a dominant object of a query and employing the dominant object to provide enhanced search services are discussed. A query is segmented into a set of n_grams. Entity extraction and resolution (EER) methods are employed to determine implicit and explicit aspects for each n_gram. N_grams that include explicit aspects are pruned from the set of n_grams and a pruned set of candidate n_grams is generated from the non-pruned n_grams. Knowledge graphs are employed to generate a ranked list of associated categories for each candidate n_gram. A ranked list of categories associated with the un-segmented query is generated based on knowledge graphs. The candidate n_gram with the highest ranked associated category that is also a highly ranked category associated with the un-segmented query is selected as the dominant object of the query. Enhanced search results are provided based on the determined dominant object.

Abstract: A computing device is configured to identify a concept of a good or service for an unmet market potential. A Global User Search Data file (GUSD) comprising information related to a search object is read. A morpheme combination in in the search object from the GUSD is identified. The morpheme combination is compared to a first set of pre-existing terms. A first score is assigned to the search object based on the comparison, wherein a higher first score is assigned if the morpheme combination is not found in the first set of pre-existing terms. An un-successfulness of the search object is determined and a second score is assigned, wherein a higher second score is assigned the more un-successful the search object is. An aggregate of all the scores for a search term is compared to a predetermined threshold. If the aggregate score is above the predetermined threshold, the search term is identified as a concept of a good or service for an unmet market potential.

Abstract: There is provided a method of setting up an interactive communication session between a querying client terminal and target client terminal(s), comprising: receiving a query from the querying client terminal, semantically matching the query to a structured dataset storing structured data created from unstructured user generated content, and unstructured user reactions, extracted from posted profiles of user credentials of a social network, selecting matched user credentials of users of the social network according to an analysis of the matched structured data, distributing a request for joining an interactive communication session to matched client terminals of the matched user credentials, receiving at least one response to the request from responding client terminal(s) of at least one responding user credentials, and establishing an interactive communication session between the querying client terminal and the responding client terminal(s) of the at least one responding user credentials.

Abstract: A method generates data visualizations based on user selected data sources and user input that specifies natural language commands requesting information about the data sources. The computer determines one or more keywords from the natural language command and determines, based on the one or more keywords, a user intent to generate a new data visualization. The computer then generates a visual specification that specifies a plurality of visual variables. Each visual variable of the plurality of visual variables is generated based on the first user intent. The computer then generates and displays a data visualization based on the visual specification.

Abstract: A new document is processed for ingestion into a corpus of a cognitive computing system by associating with a category of documents already contained within the corpus, such as a topical category. Then, the cognitive computing system is engaged automatically to query one or more questions previously-associated with the category to discover discrepancies between the new document and those already in the corpus. If a discrepancy is found, a confidence factor based upon extracted natural language entities and relationships is assigned to the discrepancy, and it is flagged and reported to a user for reconciliation.

Abstract: Methods, systems, and devices for determining device associations are described. Some database systems may store information related to device characteristics. Each of these devices may be operated by one or more users, and each user may operate one or more devices. In some cases, information about users may be more valuable than information about devices. As such, a system may determine probable associations between devices, where an association can correspond to operation by a same user. To determine device associations, the system may perform a machine-learning process (e.g., using probabilistic soft logic (PSL) and a hinge-loss Markov Random Field (HL-MRF) model) on input device characteristics and connection information to generate a probability density function. The probability density function may indicate associations between devices within the system.

Abstract: Techniques that facilitate matrix factorization associated with graphics processing units are provided. In one example, a system includes a first graphics processing unit, a second graphics processing unit and a central processing unit. The first graphics processing unit processes a first data block of a data matrix associated with a matrix factorization system to generate first information for the matrix factorization system. The second graphics processing unit processes a first portion of a second data block of the data matrix separate from a second portion of the second data block to generate second information for the matrix factorization system. The central processing unit processes a machine learning model for the matrix factorization system based on at least the first information provided by the first graphics processing unit and the second information provided by the second graphics processing unit.

Abstract: Embodiments are disclosed for automated evaluation of compatibility of a data structure with a user device. An example method includes receiving, by communications circuitry, a set of user device characteristics regarding the user device, and retrieving, by the personalization circuitry, a set of data structure characteristics regarding the data structure. The example method further includes calculating, by the personalization circuitry, a set of characteristic-level compatibility scores, and generating, by the personalization circuitry and based on the set of characteristic-level compatibility scores, a compatibility score for the data structure and the user device. Subsequently, the example method includes generating, by an aggregator and using the generated compatibility score, an indication of relative compatibility of the data structure for the user device, and causing transmission, by communications circuitry, of a control signal to the user device based on the indication of relative compatibility.

Abstract: A management device is connected to an apparatus and is configured to manage the apparatus. The management device includes a display unit, a wireless communication unit, and a control unit. The display unit is configured to display information about the apparatus. The wireless communication unit is configured to wirelessly communicate with a mobile terminal. The control unit is configured to, when a distance between the management device and the mobile terminal is shorter than a threshold, adjust display settings of the display unit to display settings of the mobile terminal.

Abstract: Techniques for performing content performance analytics are disclosed in accordance with some embodiments. In some embodiments, a process for performing content performance analytics includes receiving content on a web site; performing content performance analytics of content available on the web site using a processor; generating a report that includes a recommended action based on the content performance analytics for the content on the web site; and automatically performing a recommended action based on the content performance analytics for the content on the web site.

Abstract: The present disclosure relates to a method and a system for generating sentiment-based summaries for a user review. In an embodiment, a text analyzer receives a block of text indicating a user review. The text analyzer may generate one or more vectors for the plurality of words. Further, a relation is identified among the one or more vectors. A model is trained to identify a relation among the one or more vectors. Using the relation between the one or more vectors, a sentiment associated with the block of text is determined. Thereafter, one or more keywords from the block of text contributing to the determined sentiment is are identified and are classified into categories according to the sentiment contributed by the one or more words. Thereafter, the summary is generated for each category using the corresponding one or more words.

Abstract: A method for accurately searching within a website is disclosed, which comprising: a search box obtaining a search term inputted and sending the search term to a dynamic matching unit; the dynamic matching unit performing query matching in different libraries according to a preset query rule to obtain search results, search results containing a plurality of merchandise information; ranking the search results according to a preset ranking rule, and displaying them in a pull-down list; each of the search results containing a merchandise name and a function button; and clicking the function button for jumping to a preset function page displaying the corresponding function information. In such a way, ranking of the search results is more reasonable and requirements. Meanwhile, the user can quickly perform such operations as search, read, download, and purchase, so as to reduce operation steps and improve user experience.

Abstract: A computer 101 for searching a library to be used for an application to be used for a data analysis includes a memory 103 for storing information and a CPU 102 connected to the memory 103. The memory 103 stores execution result information including information for specifying a library utilized for a data analysis in the past and a past analysis data statistical profile which is a statistical profile with respect to past analysis data on which the data analysis is performed by using the library.

Abstract: A computer implemented method includes supplying to a client device prompts for a first individual to provide a vote for a preference of the first individual. The preference relates to an activity during an ephemeral time period. The vote is collected. Matches between the first individual and a pool of individuals are generated based upon common votes and matching criteria. The matches are supplied to the client device. A match acceptance for a second individual is collected from the client device. Network communication is enabled between the first individual and the second individual.

Abstract: Disclosed is a method and a system for identifying nascent topic related to a subject matter. The method comprises receiving a request associated with a context related to subject matter from a user, analyzing the request to determine at least one topic related to the context, determining an activity factor related to each of the context and the topic from at least one data record related therein, normalizing the activity factor related to each of the topic, analyzing the normalized scores of each of the topic to determine a short-term average and a long-term average normalized score for each of the topic and calculating a difference therein, determining a change in the differences over a specific time period, and identifying the topic associated with a sustained increase in the difference over a predefined time duration within the specific time period as the nascent topic related to the subject matter.

Abstract: In one or more embodiments, one or more systems, methods, and/or processes may: determine if the user is utilizing a previously utilized a workspace configuration; if the user is utilizing the previously utilized workspace configuration, display multiple windows respectively associated with multiple applications; and if the user is not utilizing the previously utilized workspace configuration: determine hardware resources of a current workspace configuration; modify the workspace configuration data based at least on the hardware resources of the current workspace configuration; map the multiple windows respectively associated with the multiple applications to multiple displays of the current workspace configuration based at least on the workspace configuration data; adjust a resolution of a window of the multiple windows based at least on a resolution of a display of the multiple displays that shall display the window; and translate a saved position of the window to a position associated with the display.

Abstract: A duplicate word acquisition unit acquires, as a duplicate word, when an item is selected by a user from a list of items to be selected by the user, a word contained in both text information associated with the item selected by the user and text information associated with another item having a predetermined relationship with the item selected by the user. A search condition setting unit sets a search condition for searching for an item similar to the item selected by the user based on the duplicate word. A search execution unit executes a search based on the search condition.

Abstract: An advertising system is provided and generally includes a computing device that can receive attribute data from a plurality of information sources for an item. The computing device can determine a first number of sources for which the same attribute value for an attribute of the item is received, and can determine a second number of sources for which any attribute value for the same attribute of the item is received. The computing device can generate an attribute confidence value for the attribute based on the first number of sources and the second number of sources, indicating how likely the attribute value for the attribute is correct. The computing device can determine an item confidence value for the item based on multiple attribute confidence values for the item. Based on the item confidence value, the computing device may provide an attribute error signal indicating an attribute value error.

Abstract: A device, system, and method to enable the automatic search of personal profiles in the context of on-line dating that includes the ability to select personal profile images which a likelihood of being perceived as attractive to the person conducting the search. Additionally, by way of further non-limiting example, the device, system, and method is useful in applications such as automatically searching hundreds of actor or model headshots and selecting the ones the director/photographer will approve of for a particular photoshoot, film, or commercial.

Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.

Abstract: Systems, methods, and software for developing application usage information are provided herein. An exemplary method includes identifying data sources that relate to application usage activity of one or more users, determining activity signals related to at least data analysis by the one or more users from among the application usage activity, and applying the activity signals to a knowledge graphing service that infers data analysis preferences from among the activity signals. The method also includes providing ones of the data analysis preferences for use by data insight services that establish data insight objects visualizing target datasets based at least on the ones of the data analysis preferences.

Abstract: Features are described for improving data transmission by filtering weakly associated items in sequences of item selections. By identifying spurious relationships, data transmissions for weakly related items can be altered or suppressed. The weak relationship may be identified in existing item-to-item associations or for a set of items scheduled for transmission to a user device.

Abstract: A method for categorizing text strings assigns text strings to topical categories. A search engines retrieves and ranks a list of Uniform Resource Locators (URLs) for each test string. The most highly-ranked URLs for a set of text strings form a whitelist of pre-approved text strings that are assumed to correlate closely with category meaning. Incorrectly categorized text strings are identified by scoring a list of URLs retrieved by a search engine for each text string, comparing each score to the whitelist position of the text string, flagging text strings with scores that deviate from whitelist position by at least a threshold amount, and reassigning flagged text strings to categories with the most similar sets of retrieved URLs. An alternate method categorizes an unknown text string by extracting the text content from the URLs, classifying the content with human-created vocabulary rules and aggregating categories found in extracted text to estimate the correct category.

Abstract: Techniques for cognitive corpora analysis are provided. Vector representations are generated by processing documents in a corpus using a passage encoder. One or more concepts are identified in the documents by processing the documents with the passage encoder, where the concepts are assigned respective importance scores by the passage encoder. Further, a selection of a document is received, and a sub-corpus of documents is generated by computing a similarity measure between the vector representation of the first document and the vector representation of at least one other document in the corpus. An overall importance score is generated for a first concept, with respect to the generated sub-corpus, by identifying a respective importance score of the first concept in at least two respective documents in the sub-corpus, and aggregating the respective importance scores. Finally, an indication of the generated overall importance score is provided.

Abstract: An information processing apparatus comprising: at least one processor programmed to cause the apparatus to: hold label information regarding presence of a target object, the label information being set for the target object in an image; obtain a reliability of the label information; cause a display apparatus to display the label information and an image corresponding to the label information in the image, based on the reliability; accept an operation made by a user; and modify the label information based on the operation.

Abstract: One embodiment provides a method, including: receiving, at an information handling device, query input from at least one user, wherein the query input comprises at least one entity; accessing, using a processor, contextual history data associated with the at least one user; determining, using the contextual history data, a contextual association for the at least one entity; and generating output associated with the contextual association for the at least one entity. Other aspects are described and claimed.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset and dataset attributes and identifying a first version of the dataset. The method may include identifying data that varies from a first version of the dataset, and generating a second version of the dataset to include a first subset and a second subset of atomized data. The method may include storing subsets of atomized data points as an atomized dataset.

Abstract: A system, computer program product, and method are provided to selectively index one or more subsets of documents or files. As data is extracted from a document or file, extracted text is organized into data portions and subject to evaluations. Meta characteristic data is leveraged to assess the extracted text. One or more subsets of the organized data portions are selectively identified and subject to enrichment processing, which creates and returns enriched and indexed subsets of the documents or files.

Abstract: Methods, computer program products, and computer systems for configuration management are disclosed. Such methods, computer program products, and computer systems include determining whether unstructured data or structured data is available for use as a basis to define an associative template, and in response to a determination that unstructured data is available for use as the basis to define the associative template, determining whether the unstructured data is hierarchically organized. In response to a determination that the unstructured data is hierarchically organized, an associative template can then be defined using the hierarchical organization of the unstructured data, where the unstructured data is hierarchically-organized unstructured data (HOUD).

Abstract: Embodiments for implementing schema discovery and query optimization by a processor. A schema may be created from one or more histograms of one or more keys and data types of a database and capable of being adapted and recalculated. One or more queries may be assembled according to the schema. One or more indexes and views may be suggested according to the one or more queries and the schema.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: predicting a reaction by a user that may be caused from receiving social media content. An activity that may be affected by the predicted reaction is consequently predicted. A measure of impact by the social media content on the user performing the activity as predicted is quantified as a performance impact score based on numerous factors including the activity and the reaction predicted. If the performance impact score is within a certain range of threshold, the social media content would be delivered according to a delivery regime associated with the range.

Abstract: Malicious domain finding using DNS query pattern analysis is disclosed. A first DNS query signature and a second DNS query signature are generated, using a set of DNS query records. The first and second DNS query signatures are compared, and the second DNS query signature is identified as malicious based on a detected match between the first and second DNS query signatures.