Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

Abstract: Presented herein are systems and methods for obfuscating text data elements exchanged with deep learning architectures. A computing system may receive, from a computing device, a first input including a first plurality of data elements to be provided at least in part to a deep learning architecture. The computing system may parse the plurality of data elements of the first input to identify at least one first data element corresponding to an identifier type of a plurality of identifier types. The computing system may generate a second data element corresponding to the identifier type to replace the at least one first data element in the first input. The computing system may generate a first output from the first input by replacing the at least one first data element with the second data element. The computing system may transmit the first output for provision to a deep learning architecture.

Abstract: An electronic device and a method for generating personal mobility device-usage recommendations based on user activity tracking is provided. The electronic device monitors a first set of activities associated with a user. The electronic device determines first information indicating a first time period associated with the monitored first set of activities. The electronic device receives second information indicating a second time period associated with a usage of a personal mobility device to perform a second set of activities. The electronic device compares the determined first information with the received second information. The first set of activities are associated with the second set of activities. The electronic device further generates recommendations associated with the usage of the personal mobility device by the user, based on the comparison of the determined first information with the received second information.

Abstract: A method is provided for improved understanding of text or speech sequences utilizing language neutral verb expression patterns (LNVEP). The LNVEP system deconstructs the text or speech sequences to uncover the LNVEP, which includes one or more essential component categories with a certain verb to yield a universally understandable, appropriate verb expression. The LNVEP identifies the semantic meaning of the text or speech sequences. Each LNVEP corresponds to one of more LNVEP Model that identifies the syntax of the text or speech sequences.

Abstract: In one embodiment, a method comprises: obtaining, by a process, path trace data collected by a plurality of performance monitoring agents across a computer network; obtaining, by the process, one or more catalogs having application-based correlation information for the path trace data; generating, by the process, network mapping directed graphs by correlating the path trace data using the one or more catalogs, the network mapping directed graphs logically comprising nodes categorized at a plurality of levels of aggregation and edges connecting the nodes; associating, by the process, test-based performance data with the edges of the network mapping directed graphs; and providing, by the process, at least one Sankey diagram based on the network mapping directed graphs and test-based performance data associated with their edges for selectable display by a user interface.

Abstract: Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

Abstract: Devices, methods, and non-transitory program storage devices (NPSDs) are disclosed herein to provide for the privacy-respectful learning of iconic scenes and places, wherein the learning is based on information received from one or more client devices in response to one or more collection criteria specified as part of one or more collection operations launched by a server device. In some embodiments, differential privacy techniques (such as the submission of predetermined amounts of noise-injecting, e.g., randomly-generated, data in conjunction with actual data) are employed by the client devices, such that any insights learned by the server device only relate to “hot spots,” “themes,” or other scenes, objects, and/or topics that are highly popular and captured in the digital assets (DAs) of many users, ensuring there is no way for the server device to learn or glean any insights related to particular users of individual client devices participating in the collection operations.

Abstract: A method of pushing a video, an electronic device and a storage medium are provided, which relate to a field of data processing technology, in particular to big data technology. The method includes: acquiring first high-quality videos; acquiring posterior data obtained when each first high-quality video is distributed for a first preset number of times as a label for the video; acquiring a first preset number of users earliest interacting with each first high-quality video; generating training samples using the videos as video-side features and the users as user-side features to train at least one ranking model; acquiring a first target user; acquiring one or more candidate videos corresponding to each opinion leader to form a first video set; and pushing, after ranking for the first video set using the at least one trained ranking model, a top second preset number of videos to the first target user.

Abstract: This disclosure generally relates to computer-based systems configured for one or more novel technological applications of information processing in the field of database resolution from an enhanced query data refinement in an elastic search environment utilizing a machine learning model pipeline to resolve entity records.

Abstract: The information processing device generates headings from structured documents. The acquisition means acquires a structured document including headings and texts. The feature word extraction means extracts feature words from subordinate elements of the heading for the headings included in the structured document. The heading generation means generates a new heading corresponding to the subordinate elements based on the extracted feature words.

Abstract: Disclosed is a content publisher recommender system comprising: a server; a content database, configured within the server, within which are stored one or more channels associated with an end user, wherein the one or more channels stores at least one end user identification and a user historical database including a time log of the end user's activity, a log of search phrases used by the end user, a record of results identified on the search phrases; a ranking of the record of results, a record of which results the end user interacts with and a record of the format of the first clicked results from an end user wherein the search phrases are analysed using natural language processing to reduce the terms of the search phrases to their root form, the terms of the phrase are broken down into their part of speech and all keywords identified during natural language processing have stop words removed; and wherein considerations of the stored data and the analysis provides a ranking for searching to provide recommend

Abstract: The disclosed technology is generally directed to code transparency. In one example of the technology, a claim associated with an application is received. The claim is a document that is signed with a claim signature and that includes evidence associated with a policy, and further includes an expected set of at least one binary measurement associated with the application. The evidence is cryptographically verifiable evidence associated with the application. A trusted execution environment (TEE) is used to provide a distributed ledger. The claim is verified. Verifying the claim includes verifying the expected set of at least one binary measurement associated with the application, verifying the claim signature, and, based at least on the evidence, verifying that the application meets the policy. Upon successful verification of the claim, the claim is appended to the distributed ledger. A ledger countersignature associated with the claim is generated.

Abstract: According to one embodiment, a case query apparatus includes a processing circuit. The processing circuit acquires a query condition represented by a query target. The processing circuit acquires a meta query condition represented by a description concerning a viewpoint to focus on when querying a case similar to the query condition. The processing circuit calculates a similarity degree between the query condition and each of a plurality of reference cases represented by a query target. The processing circuit queries a similar reference case similar to the query condition from a viewpoint of the meta query condition, among the plurality of reference cases, based on the similarity degree. The processing circuit presents a query result on the similar reference case.

Abstract: Computer-implemented systems, method and products configured for providing one or more restriction groups in a content management system are provided. One or more restriction marks may be associated with the one or more restriction groups. At least a first restriction mark may be associated with a first restriction group. The first restriction mark may be assigned to a first content item stored in the content management system, in response to determining that the first content is associated with the first restriction group, the first content item being associated with metadata indicating user access permissions according to the first restriction mark and a security classification. The metadata associated with the first content item may be updated based on the assignment of the first restriction mark to the first content item to allow or limit user access to the first content item.

Abstract: A Data Sample Collection Service (DSCS) may be configured to receive various data sample collection requests from users and to process the one or more requests on behalf of the users. In order to properly describe what kind of Ready-to-Use Data Samples (RDS) a user needs, the DSCS may adopt a Data Sample Template (DST). By using the DST, the user can clearly depict what their desired data samples look like, along with various quality requirements regarding the data samples. The DSCS can further provide a DST Management function to users. In general, DST management involves the processes of DST creation, DST update, DST deletion and DST activation/de-activation. For example, a user may create a DST based on its data sample collection needs. Later, the created DST can also be updated and/or deleted based on dynamic changes to the needs of the user.

Abstract: Techniques for associating assets related to events detected in at least one computer network with respective assets in an asset catalog for the at least one computer network. The techniques comprising: obtaining information about an event related to a first asset, the information specifying computer network addressing information for the first asset; generating a signature of the first asset from the computer network addressing information using at least one trained machine learning model, wherein the signature comprises a numeric representation of the first asset; associating the first asset with at least one asset in the asset catalog using the signature and at least one signature of the at least one asset in the asset catalog, wherein the at least one signature was previously determined using the at least one trained machine learning model; and outputting information identifying the at least one asset with which the first asset was associated.

Abstract: With digitally stored geographical maps, programmed algorithms can calculate a plurality of territories within a map, the territories being balanced with respect to metric data that is associated with units of the map, using channel flow-based principles of the Constructal Law. One field of application is balanced territories for sales representatives in which units of a map are associated with different customers or entities having different sales volume, unit volume, or other workload associated with the units. As the magnitude of workload metrics changes, territories can be rapidly and efficiently rebalanced.

Abstract: Systems and methods for visualization monitoring data from a cloud-based system include obtaining the monitoring data, wherein the monitoring data is based on transactions associated with a plurality of users of the cloud-based system; providing a Graphical User Interface (GUI); obtaining a plurality of filter selections for a plurality of filter types; and displaying a visualization comprising a Sankey diagram of the monitoring data with nodes in the Sankey diagram including each of the plurality of filter types and links between the nodes indicative of the transactions in the monitoring data. The monitoring data can be for one or more of cloud security service transactions, application access via a Zero Trust Network Access (ZTNA) service, and user experience metrics.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement video surveillance with neural networks are disclosed. Example systems disclosed herein include a database to store records of operator-labeled video segments (e.g., as records of operator-labeled video segments). The operator-labeled video segments include reference video segments and corresponding reference event labels describing the video segments. Disclosed example systems also include a neural network including a first instance of an inference engine, and a training engine to train the first instance of the inference engine based on a training set of the operator-labeled video segments obtained from the database, the first instance of the inference engine to infer events from the operator-labeled video segments included in the training set.

Abstract: Unstructured data items are stored at an object storage service. A filtering requirement to be used to generate a result set for an access request is determined. Using a transformed representation of the filtering requirement, a target set of tokens of the filtering requirement which are to be obfuscated within a log record is identified. A log record that comprises substitute tokens for the target set of tokens is generated and stored.

Abstract: The present disclosure provides an image recognition method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies, such as image processing and deep learning technologies. The image recognition method includes: acquiring a to-be-recognized image, and determining a to-be-recognized subject in the to-be-recognized image; extracting a subject feature of the to-be-recognized subject, and obtaining a target feature according to the subject feature; determining a target candidate feature in a plurality of candidate features using the target feature; and taking a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject. With the present disclosure, different image recognition requirements may be met, and a speed and accuracy of image recognition may be improved.

Abstract: Systems, methods, and non-transitory computer-readable medium are disclosed includes for secure online credential authentication. One method includes receiving, over an electronic network, identification information from an identity provider; accessing, from a database, previously stored hashed identification information stored in association with a previous identity provider; comparing the identification information to previously stored hashed identification information; and storing the identification information in association with the identity provider that provided the identification information in the database when the hashed identification information does not match previously stored hashed identification information.

Abstract: A system and method is presented that extracts snippets form web pages according to specially designed logic. The extracted snippets might be made relevant to, i.e., indexed by, a location and time/day applicability. Such snippets may be thought of as apps or services that are defined only when a mobile terminal is in a pre-defined geographical area at a certain time and day (e.g., as defined by a calendar of events). Extracted snippets are stored and made searchable. Methods and a system are described to control the display of snippet search results. Snippets may be selected by user or by programmed logic and executed on the mobile terminal or in remote servers without the need to download the app or source code associated with the snippet.

Abstract: Methods, systems, and computer-readable media for similarity detection based on token distinctiveness are disclosed. A similarity detection system determines candidate items for a seed item based on a comparison of tokens in textual descriptions of the candidate items to tokens in a textual description of the seed item. The system uses machine learning to determine importance scores for the tokens of the seed item. An importance score is determined based on the frequency of the individual token and the frequency of the most commonly occurring token in the candidate items. Importance scores for the same token differ from the seed item to another seed item. Based on the importance scores, the system determines similarity scores for the candidate items to the seed item. The system selects, from the candidate items, a set of similar items to the seed item based (at least in part) on the similarity scores.

Abstract: To provide an information processing system, an information processing device, an information processing method, and a recording medium capable of distributing special content for relieving a user's negative circumstances. According to the present disclosure, there is provided an information processing system including: a communication unit configured to receive at least current position information regarding a user; and a control unit configured to cause the communication unit, if the control unit determines that a predetermined area containing a position indicated by the current position information is an area that makes people staying in the predetermined area feel unpleasant, to distribute specific content to the user.

Abstract: A data marketplace for enriching data records by matching, identifying composite data records, and utilizing Reference Source datasets. Customer data can be tokenized and then subsequently transmitted to a third-party Data Marketplace Platform. Similarly, a Reference Source dataset may be tokenized and transmitted to a Data Marketplace Platform. On the Data Marketplace Platform, the customer data and the reference source data may be compared, wherein certain data attributes (i.e., tokens on the Data Marketplace Platform) may be identified as missing in the customer dataset and present in the reference source dataset. The customer may then have the ability to acquire the missing and value-added data attributes by transacting with the reference source via a data broker, such as the Data Marketplace Platform.

Abstract: A computing system can receive, from a mobile application executing on a mobile device, at least one image that has been captured on the mobile device and corresponds to an interaction. The computing system can extract interaction data from each image. The computing system can transmit a notification to the mobile device indicating that the interaction data has been extracted from the images. The computing system can receive a request to transmit the plurality of interactions to an entity server for processing. The computing system can generate, based on the interaction data, an application programming interface request that is configured to cause the entity server to process the plurality of interactions. The computing system can transmit the application programming interface request to the entity server and receive a confirmation from the entity server that the plurality of interactions have been processed.

Abstract: Data enrichment and augmentation is disclosed. Machine data comprising at least one of a log message and a metrics data point is received. The received machine data comprises an identifier of an instance of a virtual machine. Based at least in part on the identifier of the instance of the virtual machine, a query for tags associated with the instance of the virtual machine is performed. At least one key-value pair is generated based at least in part on tags received in response to the query performed based at least in part on the identifier of the instance of the virtual machine. The received machine data is augmented with the at least one key-value pair generated based at least in part on the tags received in response to the query based at least in part on the identifier of the instance of the virtual machine.

Abstract: At least one target in a speech of a first speaker during an electronic conference is identified. A closest vector between the identified target and a group of possible matches for the target is determined. A most similar match for the identified target is determined based on a current usage context for the identified target, a history of stored information associated with the first speaker and the identified target, and the determined closest vector. The most similar match to a set of participants of the electronic conference is displayed.

Abstract: A method and system may be implemented for automatically analyzing data in a database. A method for use in a low-latency database analysis system may include generating a schema. The schema may be based on a portion of an external database. The method may include storing the schema in an in-memory database. The method may include receiving a data-query. The method may include generating a resolved-request. The resolved-request may be based on the data-query and the stored schema. The stored schema may be used for executing the query on the external database. The method may include receiving results data responsive to the data-query from the external database. The method may include outputting the results data for display on a user interface.

Abstract: A software system for use with a network controller is disclosed. The software system comprises a plurality of modules, wherein some of the modules are specific to the network protocol used by the network controller. Other modules are usable for a variety of network protocols without modification. In this way, the development of the software for a network controller may be simplified resulting in less development time. Further, this system allows for flexibility to add attributes and rules at any time without modification to most of the system. The software system includes an attribute store, a resolver engine, a frame handler, a frame transmitter and a frame receiver.

Abstract: In some implementations, a method includes obtaining a pharmaceutical content item that provides information regarding a pharmaceutical article that is associated with a plurality of pharmaceutical topics. In some implementations, the pharmaceutical content item includes a plurality of portions including a first portion and a second portion. In some implementations, the method includes determining that the first portion provides information regarding a first subset of the plurality of pharmaceutical topics and that the second portion provides information regarding a second subset of the plurality of pharmaceutical topics. In some implementations, the method includes generating a first pharmaceutical label for the first portion based on the first subset of the plurality of pharmaceutical topics and a second pharmaceutical label for the second portion based on the second subset of the plurality of pharmaceutical topics.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Abstract: In implementations of systems for generating interactive reports, a computing device implements a report system to receive input data describing a dataset and an analytics report for the dataset that depicts a result of performing analytics on the dataset. The report system generates a declarative specification that describes the analytics report in a language that encodes data as properties of graphic objects. Editing data is received describing a user input specifying a modification to the analytics report. The report system modifies the declarative specification using the language that encodes data as properties of graphic objects based on the user input and the dataset. An interactive report is generated based on the modified declarative specification that includes the analytics report having the modification.

Abstract: A system for transmitting information to users via a website or mobile application is described herein. The system includes a database and a server including a processor. The processor is programmed to receive a transmittal request to transmit a communication message to a recipient address, select a recipient type associated with the recipient address, and responsively generate a unique communication identifier including information indicative of the selected recipient type and the communication message. The processor generates and transmits a notification message including the unique communication identifier to the recipient address. The processor also receives a display request to display the communication message in response to a recipient user accessing the unique communication identifier including the selected recipient type.

Abstract: In some aspects, a server trains an artificial intelligence (AI) to create a trained AI. The training includes: selecting a content creator from multiple content creators to create a selected content creator, selecting a plurality of content items associated with the content creator to create selected content items, training the AI using the selected content items, determining a creator influence of the selected content creator on the trained AI based on an aggregate influence of the selected content items on the AI during the training, and including the creator influence in a static attribution vector. After the training is completed, the trained AI receives an input and generates an output. The server creates an attribution determination based at least in part on the static attribution vector and initiates providing compensation to one or more of the multiple content creators based at least in part on the attribution determination.

Abstract: Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation is segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.

Abstract: Systems and methods are provided herein for recommending a pause position during a binge-watching session. A series containing multiple sequential episodes is provided to a user device. Then it is determined whether the user is engaged in binge-watching the series. If the user is binge-watching the series, a binge compulsion score is determined for each episode of the plurality of sequential episodes, where the binge compulsion score is based on how many additional sequential episodes an average user has watched after watching that episode. Then, in response to determining that the binge compulsion score of the next episode corresponds to a threshold, a prompt is generated for display, where the prompt includes a recommendation to the user to pause the series before the next episode begins.

Abstract: A server 4 executes a set extracting step (S1) of extracting a set from a plurality of documents according to a condition using time information, an inter-document similarity calculation step (S2) of calculating inter-document similarity between content of one document and content of another document included in the set, a cluster classifying step (S3) of classifying documents that are similar based on the inter-document similarity in the set into a plurality of clusters, an inter-cluster similarity calculation step (S6) of calculating inter-cluster similarity between clusters of a plurality of sets, and a cluster associating step (S7) of generating association information in which clusters that are relevant are linked to each other over sets based on the inter-cluster similarity.

Abstract: The technology disclosed relates to formulating and refining field extraction rules that are used at query time on raw data with a late-binding schema. The field extraction rules identify portions of the raw data, as well as their data types and hierarchical relationships. These extraction rules are executed against very large data sets not organized into relational structures that have not been processed by standard extraction or transformation methods. By using sample events, a focus on primary and secondary example events help formulate either a single extraction rule spanning multiple data formats, or multiple rules directed to distinct formats. Selection tools mark up the example events to indicate positive examples for the extraction rules, and to identify negative examples to avoid mistaken value selection. The extraction rules can be saved for query-time use, and can be incorporated into a data model for sets and subsets of event data.

Abstract: One or more computing devices, systems, and/or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

Abstract: A memory device may include logical units configured to store data, wherein the logical units are identified by corresponding logical unit numbers (LUNs) and are associated with corresponding LUN queue groups. Each LUN queue group may include LUN queues that are each associated with a respective intra-LUN priority level that indicates a priority of a LUN queue within a LUN queue group. The LUN queues are each associated with a respective execution priority level that indicates a priority for execution of commands in a LUN queue across LUN queue groups. A quantity of intra-LUN priority levels may be greater than a quantity of execution priority levels. A LUN scheduler may be configured to select and transfer commands from LUN queue groups to the execution queue group based on intra-LUN priority levels. A command executor may be configured to execute commands from the execution queue group based on execution priority levels.

Abstract: An image management method includes: after a video stream sent by a camera is obtained, recognizing a face image in the video stream through face recognition; comparing the image with a face image that is in an area in which the camera is located in a database; and if the comparison fails, expanding the area in which the camera is located around, and then comparing the face image with face images in an area obtained after the area in which the camera is located is expanded.

Abstract: A constellation planning system receives a request, from a client, to plan an optimal set of tasks for one or more satellites in a constellation of satellites and at least one ground station in a constellation of ground stations. The request includes a planning problem object. The system generates a status of the planning task describing a progress of the planning task, and returns the status to the client. If the status of a task is successful, then the client may retrieve the resulting schedule and publish it to the constellation.

Abstract: The present disclosure discloses a text classification system based on feature selection and a method thereof in the technical field of natural language processing and short text classification, comprising: acquiring a text classification data set; dividing the text classification data set into a training text set and a test text set, and then pre-processing the training text set and the test text set; extracting feature entries from the pre-processed training text set through improved chi-square statistics to form feature subsets; using TF-IWF algorithm to give the weight to the extracted feature entries; based on the weighted feature entries, establishing a short text classification model based on a support vector machine; and classifying the pre-processed test text set by the short text classification model. The present disclosure solves the problem that the short text content is sparse to some extent, thereby improving the performance of short text classification.

Abstract: Methods, systems, and media for identifying videos containing objectionable content are provided.

Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm.

Abstract: A method for execution by a computing device to adjust efficiency of storing data in a storage network includes processing a data segment based on a storage approach to produce a processed data segment, the storage approach being based on an estimated overwrite frequency for the data segment. The method continues by error encoding the processed data segment to produce a set of encoded data slices, where a decode threshold number of encoded data slices is needed to recover the processed data segment. The method continues by storing the set of encoded data slices in the memory of the storage network.

Abstract: An online concierge system generates an item graph connecting item nodes with attribute nodes of the items. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and identifies item nodes and attribute nodes related to the search query. The online concierge system may determine that no item nodes meet presentation criteria. The online concierge system may determine that a reformulated search query has a higher conversion probability than the search query received from the customer. The online concierge system reformulates the search query. The online concierge system selects item nodes as search results. The online concierge system transmits the search results to the customer.

Abstract: A queue management device includes: a queue detection unit that, on the basis of a detection result of forming elements at a site subject to queue management, detects the state of the queue; a guidance position determination unit that, on the basis of the state of the queue detected by the queue detection unit, determines a guidance position where a guidance should be displayed; and a guidance display control unit that controls a display device such that the guidance is displayed at the guidance position determined by the guidance position determination unit.