Abstract: According to an embodiment a determination device through a clustering analysis of position history data incudes an estimation unit that, by conducting a clustering analysis on history data of pieces of geographical position information on Earth of a plurality of movable bodies that is obtained by a positioning device, based on a horizontal position constituted of a latitude and a longitude and a lapse of time, acquires pieces of area information indicating a characteristic of geographical area in which there is a tendency for the movable bodies to be positioned, the history data being accumulated sequentially in a storage device with pieces of movable body identification information and pieces of timestamp information, and a determination unit that determines whether the movable body is present in a specified point in time and the geographical area, based on the pieces of area information acquired for one of the movable bodies.

Abstract: A creating device according to the present application includes an acquiring unit, and a creating unit. The acquiring unit acquires a plurality of pieces of triple information indicating a relationship related to three types of elements. The creating unit creates, from among the pieces of the triple information acquired by the acquiring unit, association information that associates a triple information group having a predetermined relationship related to the three types of elements.

Abstract: An information processing apparatus discloses herein includes an acquiring unit and an estimating unit. The acquiring unit acquires a plurality of pieces of identity information including a keyword based on an operation performed by a user. The estimating unit estimates an age group of the user based on the plurality of pieces of identity information acquired by the acquiring unit.

Abstract: A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.

Abstract: An information processing apparatus according to the present application includes a classification unit, a conversion unit, a label acquiring unit. The classification unit that classifies a feature vector by using a classification vector, the feature vector being converted from target data. The conversion unit that converts the feature vector into an embedding vector in accordance with a conversion rule according to classification performed by the classification unit. The label acquiring unit that acquires, as one or more labels to be provided to the target data, one or more labels acquired based on the embedding vector converted by the conversion unit.

Abstract: A virtual-reality providing system disclosed herein includes a terminal apparatus and a server apparatus. The terminal apparatus generates a first content based on an instruction that is based on a user operation, the first content being obtained by rendering one or more objects belonging to a first category among a plurality of objects. The server apparatus generates a second content based on the instruction received from the terminal apparatus to transmit the generated second content to the terminal apparatus, the second content being obtained by rendering one or more objects belonging to a second category among the plurality of objects, wherein the terminal apparatus synthesizes the first and second contents to generate a third content.

Abstract: An electronic system may be configured receive a set of location-based events and form the location-based events into a plurality of groups. The location-based events identify user devices that transmitted messages over the network and physical locations of the user devices when the messages were generated. The groups may be formed based on the physical locations and the number of groups to be formed. In some embodiments, the system may use k-means clustering to form the groups. The system may analyze the groups to determine a home location of at least some of the user devices identified in the set.

Abstract: Systems, devices, and methods generate a more accurate search advertising auction that considers heterogeneous attributes of advertisements for inclusions into an available advertisement space. Each advertisement considered for inclusion into the available advertisement space may be further analyzed to generate a truthful estimated price for reference during an online bidding for the advertisement space.

Abstract: A system and method for ranking query-advertisement combinations is disclosed. Embodiments use an online component to enhance and rank query ad combinations. The query ad combination is then reranked with a trained factorization machine. The subsequent list of ranked query-ad combinations is then output. The output may be to an auction for determine ad-query combinations having the greatest expected revenue.

Abstract: According to one aspect of an embodiment an estimation device includes a collecting unit that collects pieces of operation information that indicate operational statuses of electric devices, provided in a predetermined facility, and terminal information that is acquired by a terminal device of a user in the predetermined facility. The estimation device includes an estimating unit that estimates an action of a user in the predetermined facility based on the pieces of operation information and the terminal information.

Abstract: An inference device disclosed herein includes an identifying unit, and an inferring unit. The identifying unit identifies a set of a predetermined phenomenon, an effect having a causal relation with the predetermined phenomenon, and a polarity of the effect, from concept information in which a phenomenon, an effect having a causal relation with the phenomenon, a polarity to be an indicator of advantages and disadvantages caused by the effect to a user. The inferring unit infers an effect caused when the predetermined phenomenon occurs, and advantages and disadvantages caused by the effect based on the set identified by the identifying unit.

Abstract: According to one aspect of an embodiment a generation apparatus includes a selection unit that selects a model to be used for generating a response based on one of conditions input from a user among from a plurality of models for generating responses to inquiries, the models being for generating the responses corresponding to the conditions that are different from one another. The generation apparatus includes a generation unit that generates the response to an inquiry from the user by using the model selected by the selection unit.

Abstract: A selling item transaction processing device disclosed herein includes a setting reception unit, a transaction price changing unit, a purchase reception unit, and a processing unit. The setting reception unit receives setting of a transaction price of a selling item. The transaction price changing unit gradually lowers the transaction price. The purchase reception unit receives a purchase request on the selling item at the transaction price. The processing unit performs processing in response to the purchase request. The transaction price changing unit dynamically changes a mode of lowering the transaction price.

Abstract: A system for generating a cluster profile is provided. The system may include a server and a database. The server may be configured to receive event information from a plurality of consumer devices. The database may store a plurality of member profiles. The server may be configured to retrieve the member profiles from the database and may determine a subset of member profiles to associate with a cluster; the server may calculate an intersection of the facts from the subset of member profiles and may generate a cluster profile based on the intersection of the facts from the subset of member profiles.

Abstract: An estimation device disclosed herein includes a detection unit, an acquisition unit, and an estimation unit. The detection unit detects acceleration in a moving object. The acquisition unit acquires speed of the moving object. The estimation unit estimates a movement direction of the moving object based on a direction of the acceleration detected by the detection unit when the speed acquired by the acquisition unit changes.

Abstract: Systems and methods for domain classification in natural language processing based on domains are disclosed. The method includes generating a trigram corpus for the purpose of classification based on a trigram analysis of a domain model containing a hierarchical ontology and semantic construction that maps patterns of semantic tokens to syntactic patterns. An input string is parsed within each domain, tokenized in each domain. The resulting trigrams for the input text in each domain are looked up in the corresponding trigram corpus to determine the relevancy of each domain to the input text. The input string is thus classified based on the relevancy determination. The systems and methods avoids having to rely on existing annotated domain corpora for classification and allows for fast regeneration of the classifier when domain models are under frequent update and development.

Abstract: An electronic system may be configured to determine if a first-type device ID and a second-type device ID both identify a same device. To do so, the electronic system may preliminarily group a particular first-type ID with a particular second-type ID based on matching time slots and network addresses. Individual scores for each of the preliminary groups may be determined based on cardinalities associated with the time slots. Combined scores may then be determined for groups having the same first-type device ID and second-type device ID. A final analysis may be performed to confirm, with a sufficient level of confidence, whether first-type device IDs and second-type device IDs included in the preliminary groups identify the same device.

Abstract: According to one aspect of an embodiment an encryption device includes an acquisition unit that acquire information that is to be an encryption object. The encryption device includes an encryption unit that apply a plurality of functions to the acquired information in order of having a quasi-periodic structure to encrypt the information.

Abstract: A data classification device according to the present application includes a conversion unit, a classification unit, a first learning unit, and a second learning unit. The conversion unit converts input classification target data into a feature vector. The classification unit provides a label to the classification target data on the basis of the feature vector output by the conversion unit. The first learning unit learns conversion processing of the conversion unit, using accumulated data of the input classification target data, as first learning data. The second learning unit learns classification processing of the classification unit, using second learning data in which a label has been provided to data of a same type as the classification target data.

Abstract: An information analysis apparatus includes: a weight assigning unit that assigns a weight to each of a plurality of items based on an action taken by a user who has viewed a sales content on which the plurality of items to be recommended are posted; a selection unit that selects a plurality of pairs in which two items are selected among the plurality of items placed in the sales content and associated with each other; and an evaluation unit that evaluates a characteristic based on characteristic information indicating a property of each of the two items selected as a pair by the selection unit and the weight assigned by the weight assigning unit to the two items.

Abstract: An advertisement delivery apparatus according to the present application includes a receiving unit, a classifying unit, and a determining unit. The receiving unit receives a delivery request for a plurality of advertisements to be delivered to a terminal device. The classifying unit classifies the advertisements for which the delivery request is received by the receiving unit into a plurality of groups, based on a predetermined condition. The determining unit determines the advertisements to be delivered, for each of the groups classified by the classifying unit.

Abstract: A fact machine receives a comment string from a webpage and segments the comments into sub-conversations. The fact machine also identifies entities within comments or draft comments as well as a sentiment and/or attributes associated with the entity. The fact machine then queries a knowledge base for facts relating to the entity, the attributes, and/or the sentiment. The fact machine then provides the facts to a user prior to the user posting a draft comment.

Abstract: An example system can include a server that includes or is associated with a keyword recommendation module. The keyword recommendation module can be configured to select keywords for a search engine for use in a search engine marketing campaign, wherein the search engine provides more traffic to Internet content of a publisher than other search engines, for the keywords. The module can also be configured to determine, per keyword, user engagement with the Internet content resulting from the traffic provided by the search engine for the keywords, according to one or more of time spent viewing the Internet content, page views of the Internet content, and dwell times. The module can also be configured to score, per keyword, the keywords according to the determined user engagement with the Internet content, and generate keyword recommendations according to the scoring of the keywords.

Abstract: An image processing device according to the present application includes an accepting unit and a specifying unit. The accepting unit accepts image data that includes therein at least two diagrams that can be extracted as circles. The specifying unit specifies, by checking a parameter that is calculated from a pair of two circles included in the image data accepted by the accepting unit against a parameter that is calculated from a pair of two perfect circles that have previously been registered as markers that are used for image processing, the pair of the two circles included in the image data as the markers.

Abstract: A determination device according to the present application includes an acquisition unit, an estimation unit, and a determination unit. The acquisition unit acquires user information as information about a user. The estimation unit estimates a degree of contribution of the user to a predetermined service based on the user information acquired by the acquisition unit. The determination unit determines an aspect of providing information content to the user based on the degree of contribution estimated by the estimation unit. Accordingly, the determination device according to the present application improves cost effectiveness of the information content.

Abstract: A determination device according to the present application includes an acquisition unit, a calculation unit, and a determination unit. The acquisition unit acquires user information that is information regarding a user who uses a terminal device that becomes a providing destination of content. The calculation unit calculates scores regarding a probability of the user performing a predetermined behavior for a plurality of pieces of the content on the basis of the user information acquired by the acquisition unit. The determination unit determines distribution content to be distributed to the terminal device on the basis of the scores of the plurality of pieces of content calculated by the calculation unit.

Abstract: Systems, methods, and apparatuses are disclosed for generating mapping data structures based on predicted relationships across tracking data obtained from tracking online browsing histories of users to a network of websites.

Abstract: A generating apparatus according to an embodiment of the present application includes an obtaining unit and a generating unit. The obtaining unit obtains intermediate images in an intermediate layer of a neural network that recognizes the quantity of objects contained in an image. The generating unit generates a combination image by combining together the intermediate images obtained by the obtaining unit. For example, the generating unit generates the combination image by combining together the intermediate images to which a weight has been applied on the basis of a change in the recognition of the quantity of objects corresponding to a process applied to each of the intermediate images.

Abstract: A storage device according to the present application includes a receiving unit and a control unit. The receiving unit receives a write request for writing a file with a specified directory name. The control unit writes the file in association with a directory of the specified directory name into a memory device, within a range up to an upper limit set for the number of files to be written in the memory device in association with each directory, in response to the write request received by the receiving unit.

Abstract: Systems and methods of natural language processing in an environment with no existing corpus are disclosed. The method includes defining an input grammar specific to a chosen domain, the input grammar having a domain specific knowledge and general grammatical knowledge. Groups of tokens are identified within the input grammar having syntactic and semantic equivalence. The identified groups are assembled into hypernyms, wherein the hypernyms include a semantic output for each token in the hypernyms. A list of fields is then combined with the hypernyms for combination with the hypernyms. A corpus of possible combinations of hypernyms and fields is created. A data structure mapping each possible combination to a partial semantic output is generated and the data structure is saved for use in later processing.

Abstract: According to one aspect of an embodiment an information distribution apparatus includes an acquisition unit that, acquires a predetermined score stored in a storage device for a user corresponding to the client information terminal device; a selection unit that selects a data item to be incorporated as a. component into the data for digital screen display to be distributed to the client information terminal device in accordance with the score acauired by the acquisition unit; and a distribution unit that, after incorporating a component corresponding to the data selected by the selection unit into the data for digital screen display, distributes the resultant data for digital screen display to the client information terminal device that is a transmission source of the distribution request.

Abstract: A registering apparatus disclosed herein includes a receiving unit and a registering unit. The receiving unit receives a registration request that is transmitted from a first terminal apparatus of which reliability has been verified on the basis of a predetermined rule and that is a request including certification indicating that a second terminal apparatus is trusted by the first terminal apparatus on the basis of a rule held in the first terminal apparatus. The registering unit registers the second terminal apparatus, when the receiving unit has received the registration request.

Abstract: A signature matrix is used to test each online event for inclusion of a user in a pre-generated lookalike audience. Locality Sensitive Hashing is used to compile the signature matrix to dramatically reduce memory storage requirements and processing time for each received online event. A technique of producing incremental signature matrices between generation of the full signature matrix helps to enable near-real time performance in processing each received event to see if a user associated with that event should be added to one of the lookalike audiences pre-generated by advertiser.

Abstract: An information processing apparatus includes a determination unit that determines the degree of familiarity between a user and an artifact that performs interactive interaction with the user, on the basis of at least one of the type and the amount of the user's action detected when the artifact is accompanied by the user, and a change unit that changes the content of the interaction in accordance with the degree of familiarity determined by the determination unit.

Abstract: An information processing apparatus includes a determination unit that determines the degree of familiarity between a user and an artifact that performs interactive interaction with the user, on the basis of at least one of the type and the amount of the user's action detected when the artifact is accompanied by the user, and a change unit that changes the content of the interaction in accordance with the degree of familiarity determined by the determination unit.

Abstract: A notification-needed information presenting apparatus that includes a plurality of display devices configured to display information to an occupant of a vehicle, at least one sensor included in each of the plurality of display devices that is configured to detect at least one of a position of the occupant and a behavior of the occupant, and a processor operatively coupled with the plurality of display devices and each of the at least one sensor that is programmed to determine behavior of the occupant toward the plurality of display devices, and control the plurality of display devices to present an advertisement to the occupant in accordance with at least one of: the determined behavior of the occupant, and a condition related to the vehicle.

Abstract: An information processing apparatus includes a determination unit that determines the degree of familiarity between a user and an artifact that performs interactive interaction with the user, on the basis of at least one of the type and the amount of the user's action detected when the artifact is accompanied by the user, and a change unit that changes the content of the interaction in accordance with the degree of familiarity determined by the determination unit.

Abstract: According to one aspect of an embodiment a learning device includes a generating unit that generates a new second learner by using a part of a first learner in which deep learning has been performed on the relationship held by a combination of first content and second content that has a type different from that of the first content. The learning device includes a learning unit that allows the second learner generated by the generating unit to perform deep learning on the relationship held by a combination of the first content and third content that has a type different from that of the second content.

Abstract: An information processing apparatus according to the present application includes an acquisition unit and a generation unit. The acquisition unit acquires, when a user performs one of specific behaviors respectively having a plurality of types, information on a behavior of the user performed on a terminal device and information on context associated with the user. The generation unit executes machine learning by using, as feature amounts, information on each of the specific behaviors and the information on the context, to generate a learning model of the behavior of the user performed on the terminal device.

Abstract: An image processing apparatus according to the present application includes a reception unit and a specification unit. The reception unit receives image data produced through image capturing by a predetermined image capturing apparatus and including an elliptical figure. The specification unit performs projection transform of the image data so that the elliptical figure included in the image data received by the reception unit appears to be an exact circle, and specifies, based on characteristic information on the exact circle obtained through the projection transform, the exact circle to be a marker used in predetermined processing on the image data.

Abstract: According to one aspect of an embodiment a determination apparatus includes an association unit that associates three words between which association is to be determined, on a distributed representation space. The determination apparatus includes a determination unit that determines association between the three words as an angle defined by the three words associated with each other on the distributed representation space.

Abstract: A decision device for switching a digital data packet stream according to the present application includes an acquiring unit and a decision unit. An acquiring unit acquires, as feature information associated with a first digital data packet stream that is transmitted via an information and telecommunications network, the length of playback time in a case where the digital data packet stream is played back by rendering at a standard playback rate. A decision unit decides, on the basis of the length of the playback time acquired by the acquiring unit, a time position in which a playback target is switched temporarily from the first digital data packet stream to a second digital data packet stream.

Abstract: A terminal device that includes a first execution unit that executes a first application having a navigation function for a user in a vehicle, and a second execution unit that executes a second application having a transmission function and a reception function of a message, and the second execution unit automatically replies to the message in cooperation with the first application in a case where the second execution unit receives the message to the second application while the vehicle is being driven.

Abstract: A control apparatus for a man-machine interaction according to the present application includes a first processing unit and a second processing unit. The first processing unit acquires detection information detected using a sensor as a receptor by an artifact including an interface configured to perform a man-machine conversational interaction with a user, using the sensor and an effector as an output apparatus, the detection information indicating a status of the interaction. The second processing unit, based on the detection information acquired by the first processing unit, controls the interaction by an electronic information processing apparatus including a storage apparatus by controlling at least one of reading and writing from and to data stored in the storage apparatus and processing on the data and the output apparatus.

Abstract: Systems, devices, and methods are disclosed for determining the quality of traffic received from different web page publishers, and setting a pricing structure for the different traffic based on the determined quality of traffic. Accurately determining the quality of traffic and/or clicks from different publishers allows the network system described herein to offer a fair marketplace with just return on investments (ROI) for advertisers, and offer a robust and accurate traffic quality based pricing model for publishers. Internet based technology, and in particular deep learning techniques available through a neural network, are utilized to determine the pricing structure based on click and/or web page traffic quality measurements generated through the deep learning techniques.

Abstract: An advertising apparatus receives requirements for searching documents, acquires, for each of the requirements, a first list that arranges in ascending order document numbers, each of which is associated with a corresponding one of the documents and extracts starting document numbers of the respective requirements of the first list to thereby prepare a second list. Each starting document number totals a count that satisfies a minimum requirement count that represents the number of requirements required for the document to be searched. When a maximum document number among the document numbers belonging to the second list matches another document number, the advertising apparatus retains the other document number in the second list, and when another document number does not match the maximum document number, the advertising apparatus replaces the other document number with any other document number in the first list to which the other document number belongs.

Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.

Abstract: According to an embodiment a determination device through a clustering analysis of position history data incudes an estimation unit that, by conducting a clustering analysis on history data of pieces of geographical position information on Earth of a plurality of movable bodies that is obtained by a positioning device, based, on a horizontal position constituted of a latitude and a longitude and a lapse of time, acquires pieces of area information indicating a characteristic of geographical area in which there is a tendency for the movable bodies to be positioned, the history data being accumulated sequentially in a storage device with pieces of movable body identification information and pieces of timestamp information, and a determination unit that determines whether the movable body is present in a specified point in time and the geographical area, based on the pieces of area information acquired for one of the movable bodies.

Abstract: A delivery apparatus according to the present application includes an acquisition unit, a generation unit, and a delivery unit. The acquisition unit acquires user information that represents information relating to a user. The generation unit generates, using the user information acquired by the acquisition unit, loan information that represents information including loan terms for the user. The delivery unit delivers the loan information generated by the generation unit to a terminal apparatus that is used by the user by using, as a trigger, display of predetermined service content at the terminal apparatus.

Abstract: According to one aspect of an embodiment an estimation device includes a detection unit that detects a predetermined physical state that is produced at a time of movement. The estimation device includes an estimation unit that estimates a moving velocity from a state detected by the detection unit, by using a learner that has learned a velocity zone with the physical state being produced therefrom.