Abstract: A system and method for identifying topics in unstructured data. The method includes obtaining unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object; determining, based on the obtained unstructured data, at least one set of topic identification rules; identifying, based on the at least one unstructured data object and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and analyzing the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data.

Abstract: Evaluating LIKE predicates against compressed data. An alphabet, a LIKE predicate, a compressed string, and a compression dictionary for the compressed string are received. Entries in the compression dictionary include a character string and an associated token. The LIKE predicate is converted to an equivalent pattern matching form, involving a search pattern of length m. For each character of the alphabet that appears in a string associated with a token, a mask of predetermined length k is created. For each entry in the compression dictionary a cumulative mask of length k is computed. A bit vector of length k is initialized, based on the search pattern. Successive tokens in the compressed string are processed using a logical shift of the bit vector and a bitwise operation of the bit vector with the cumulative mask associated with the token.

Abstract: Aspects of the subject matter described herein relate to data collection. In aspects, when data is desired from one or more data sources, a size and/or other data regarding the data is obtained. Then, a data structure is generated that indicates multiple chunks of the data to obtain. Using the data structure and a query template, a query is generated to obtain a chunk of data. The obtained chunk of data is stored in a local store. If more chunks need to be obtained, first a wait for a period is performed before submitting another query for another chunk of data.

Abstract: Embodiments relate to visually encoding data and analyzing an associated dataset. More specifically, the embodiments relate to encoding a dynamic dataset and supporting data exploration of the dynamic dataset. In various embodiments, data and data viewing history are tracked according to defined criterion, which form a data version and viewing analysis record. The data and record can be displayed in many ways. In one embodiment, a visual display of differences between a first version and a second version of data is shown. In another embodiment, the visual display is dynamic and changes in real-time.

Abstract: A classification method executed by a computer for classifying a plurality of records into a plurality of groups, the classification method includes: acquiring the plurality of records, the plurality of records including a variable value respectively; tentatively classifying the plurality of records into the plurality of groups; calculating a commonality value indicating a degree of commonality of the variable value among the plurality of groups, based on the variable value included in each of the tentatively classified groups; classifying the plurality of records into the plurality of groups based on the commonality value; and outputting a result of the classifying.

Abstract: A method of providing guidance in connection with a technological task includes determining, from an interaction of an end user with a computer system, a current context and task of the end user, identifying a change in a cognitive state of the end user, where the change in the cognitive state is associated with performance of the task using the computer system, searching a plurality of user experiences corresponding to the change in the cognitive state of the end user and the user's current context, selecting at least one of the user experiences according to a selection parameter for determining a selected user experience, and injecting the selected user experience into the current context of the end user via an output device of the computer system.

Abstract: A non-transitory computer-readable recording medium stores therein an encoding program that causes a computer to execute a process including: first creating a plurality of pieces of encoded data that are obtained by encoding a plurality of files by using a specific encoding format; second creating a plurality of encoded blocks that are obtained by dividing combined encoded data, the combined encoded data being obtained by combining the plurality of pieces of the encoded data into blocks with a fixed length; and third creating an index associated with each of the plurality of the encoded blocks.

Abstract: Disclosed are a terminal, a server and event suggesting methods thereof, the event suggesting method using word embedding, the method including: determining user preference information about a predetermined object by assigning values to a plurality of reference items with respect to user input data corresponding to the object; generating user intent information, which includes values based on the plurality of reference items, based on at least one piece of review data corresponding to a plurality of events for recommendation objects, and accessing a database built up by adding the generated user intent information to the plurality of events; and suggesting an event following the object among the plurality of events based on a similarity between the user preference information about the object and the user intent information of each event included in the database.

Abstract: Methods and systems for searching computer-aided design (CAD) data. One method includes receiving a selection of a type of CAD metadata, displaying a user interface including at least one input mechanism for receiving a search parameter associated with the type of CAD metadata, and receiving the search parameter through the user interface. The method also includes, in response to receiving the search parameter, automatically identifying, with an electronic processor, CAD metadata associated with the CAD data matching the search parameter, and providing the CAD metadata matching the search parameter to a user.

Abstract: A hashing scheme includes a cache-friendly, latchless, non-blocking dynamically resizable hash index with constant-time lookup operations that is also amenable to fast lookups via remote memory access. Specifically, the hashing scheme provides each of the following features: latchless reads, fine grained lightweight locks for writers, non-blocking dynamic resizability, cache-friendly access, constant-time lookup operations, amenable to remote memory access via RDMA protocol through one sided read operations, as well as non-RDMA access.

Abstract: Systems, methods, and non-transitory computer readable media configured to determine seed content items based on interests of a user. Candidate content items can be determined for potential presentation to the user based at least in part on the seed content items. Features associated with the candidate content items can be processed to generate probabilities that the user will perform interactions with the candidate content items. Values can be assigned to the candidate content items based on the probabilities that the user will perform interactions with the candidate content items and the importance of the interactions. The values can be provided as bid values to an auction system to determine constraints regarding presentation of the candidate content items. Presentation of the candidate content items can be optimized.

Abstract: A facility for addressing nodes in a graph database is described. The facility receives from a first application a first indication that it treats a first property as a unique identifier, and receives from a second application distinct from the first application a second indication that it treats a second property distinct from the first property as a unique identifier. The facility receives from the first application a first update request for a distinguished entity, the distinguished entity identified in the first update request by its value for the first property. The facility performs the first update request with respect to the distinguished entity. The facility receives from the second application a second update request for the distinguished entity, the distinguished entity identified in the second update request by its value for the second property. The facility performs the second update request with respect to the distinguished entity.

Abstract: Embodiments relate to a system, program product, and method for use with an intelligent computer platform to decipher analogical phrases. A phrase is compared to an analogy classifier database in order to identify a match between the analogical pattern and an analogy entry. If a match is identified, generating an idiomatic structure from the analogical pattern. An analysis is then applied whereby the analysis includes building a set of outcomes of the generated idiomatic structure based on semantic analysis into corresponding metadata for the idiomatic structure. An ontological database is searched for evidence of a pattern associated with the set of outcomes and each entry in the outcome set is scored according to a weighted calculation from the ontological database based on congruence with the pattern. An entry from the outcome set is selected based on the scoring and is represented as a meaning of the analogical pattern.

Abstract: Provided are systems, methods, and computer-program products for a contextual connection system. In various implementations, the system can receive data corresponding to an interaction between a first node and a second node. The system can use an interaction history associate the first node with a subset of other nodes. The system can receive input corresponding to a search, where the search is associated with the third node. The search requests a list of nodes, where nodes in the list of nodes are likely to accept a connection request from the third node. The system can determine similarity between the third node and the second node. Determining the similarity can further include using the similarity and a result of searching to identify the context associated with the first node. The system can add the first node to the list of nodes, and respond to the search with the list of nodes.

Abstract: Embodiments relate to visually encoding data and analyzing an associated dataset. More specifically, the embodiments relate to encoding a dynamic dataset and supporting data exploration of the dynamic dataset. In various embodiments, data and data viewing history are tracked according to defined criterion, which form a data version and viewing analysis record. The data and record can be displayed in many ways. In one embodiment, a visual display of differences between a first version and a second version of data is shown. In another embodiment, the visual display is dynamic and changes in real-time.

Abstract: A non-transitory computer-readable recording medium stores an index generating program that causes a computer to execute a process including: generating presence information of a plurality of pieces of text data, the presence information including whether each of a plurality of elements, included at least one of the plurality of pieces of text data, is present for each of the plurality of pieces of text data, the presence information including a first axe for the plurality of elements and a second axe for the plurality of pieces of text data; detecting collision data for hashed index information when generating the hashed index information, the collision data corresponding to data elements that are independent in the presence information; and setting additional values to each of a plurality of specific collision data, respectively, for one of the plurality of hashed axes.

Abstract: A computer system uses a search engine to search a dataset using an initial query provided by a user and thereby to produce initial search results. The system enables the user to select portions of the initial search results. The system identifies metadata associated with the selected portions, and displays information representing that metadata in a form that is easily understandable by a person not trained in the annotation system in which the search results are encoded. The user may instruct the system to add one or more of the displayed metadata elements to the initial query, in response to which the system may add the specified metadata elements to the initial query to produce a modified query. The system may search the dataset using the modified query and thereby produce modified search results. The process may be repeated as desired by the user to further refine the search results.

Abstract: A device includes a processor and an interface. The processor is configured to identify a base topic of a personalized media stream. The processor is also configured to identify a first media item based on first data from a first source. The first data is assigned a first weighting of the first source based on an identified level of familiarity associated with the base topic and an identified level of popularity in another personalized media stream. The processor is also configured to build a collection of candidate media items that includes the first media item and a second media item. The processor is further configured to order the collection of candidate media items to form the personalized media stream. Ordering the collection includes ordering the first media item within the collection based on the first weighting. The interface is configured to communicate the personalized media stream to a client device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing knowledge panels with search results. In one aspect, a method includes obtaining search results that are responsive to a received query. A factual entity referenced by the query is identified. Content is identified for display in a knowledge panel for the factual entity. The content includes at least one content item obtained from a first resource and at least one second content item obtained from a second resource different than the first resource. Data is provided that causes the identified search results and the knowledge panel to be presented on a search results page. The knowledge panel presents the identified content in a knowledge panel area that is along side at least a portion of the search results.

Abstract: A method of providing guidance in connection with a technological task includes determining, from an interaction of an end user with a computer system, a current context and task of the end user, identifying a change in a cognitive state of the end user, where the change in the cognitive state is associated with performance of the task using the computer system, searching a plurality of user experiences corresponding to the change in the cognitive state of the end user and the user's current context, selecting at least one of the user experiences according to a selection parameter for determining a selected user experience, and injecting the selected user experience into the current context of the end user via an output device of the computer system.