Abstract: Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.

Abstract: An output device includes an acquiring unit that acquires a plurality of pieces of output information generated from predetermined target information by a plurality of models each of which generates, from input information, output information that includes a plurality of pieces of information having an order relation. The output device includes a selecting unit that selects, based on a similarity between the plurality of pieces of output information, from among the plurality of pieces of output information, output information that is to be output as association information associated with the target information. The output device includes an output unit that outputs, as the association information, the output information selected by the selecting unit.

Abstract: A generating device according to the present application includes an obtaining unit and a first generating unit. The obtaining unit obtains training data including an acoustic feature value of a first observation signal, a late reverberation component corresponding to the first observation signal, and a phoneme label associated with the first observation signal. The first generating unit generates an acoustic model to identify a phoneme label corresponding to a second observation signal based on the training data obtained by the obtaining unit.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a selecting unit. The acquiring unit acquires a plurality of pieces of second triple information hierarchized based on a conceptual system in a plurality of pieces of first triple information indicating a relationship about three types of elements and statistical information indicating the number of pieces of the first triple information associated with each of the plurality of pieces of the second triple information. The selecting unit selects, based on the statistical information acquired by the acquiring unit and based on a predetermined standard related to the statistical information, from among the plurality of pieces of the second triple information, a plurality of pieces of target triple information to be used for a clustering process.

Abstract: An information processing device according to the application concerned includes a generating unit and a providing unit. The generating unit generates a rating function for each node of a second-type graph which is generated from a first-type graph in which predetermined elements are treated as nodes and the relationships among the elements are treated as links, and which indicates a futuristic state of the first-type graph. The providing unit provides the information related to the second-type graph based on the rating function for the each node as generated by the generating unit.

Abstract: According to one aspect of an training apparatus includes an acquiring unit that acquires a first model including an input layer to which input information is input; a plurality of intermediate layers that executes a calculation based on a feature of the input information that has been input; and an output layer that outputs output information that corresponds to output of the intermediate layer. The training apparatus includes a training unit that trains the first model such that, when predetermined input information is input to the first model, the first model outputs predetermined output information that corresponds to the predetermined input information and intermediate information output from a predetermined intermediate layer among the intermediate layers becomes close to feature information that corresponds to a feature of correspondence information that corresponds to the predetermined input information.

Abstract: According to an embodiment a determination device through a clustering analysis of position history data includes 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 data management device is provided, which includes an interpreting unit that interprets an input record, and convert the input record to abstract expression by which a correspondence relation between a data item and data itself is recognizable; and a converting unit that stores, in a storage unit, a data set, in which the data itself and index information capable of identifying the record are associated, as column data for each of the data items.

Abstract: According to one aspect of an embodiment a creating device includes an estimating unit that estimates a predetermined range that is included in an observation signal and in which a predetermined signal is included. The creating device includes a creating unit that creates, based on an enhancement range in which the predetermined signal included in a signal included in the predetermined range has been enhanced, a filter that is used to enhance a signal having the same characteristic as that of the predetermined signal from a range other than the predetermined range that is included in the observation signal.

Abstract: An information processing apparatus according to the present application includes a specifying unit and a deciding unit. The specifying unit specifies a placement available position that is a position in which a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtually set can be placed. The deciding unit decides, based on the placement available position specified by the specifying unit, the placement position in which the virtual riding point is placed.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a providing unit. The acquiring unit acquires a usage situation of a user who has used a moving vehicle. The providing unit provides, in accordance with the usage situation acquired by the acquiring unit, a predetermined incentive to the user.

Abstract: According to one aspect of an embodiment a learning apparatus includes a generating unit that generates a model. The model includes an encoder that encodes input information. The model includes a vector generating unit that generates a vector by applying a predetermined matrix to the information encoded by the encoder. The model includes a decoder that generates information corresponding to the information from the vector. The learning apparatus includes a learning unit that, when predetermined input information is input to the model, learns the model such that the model outputs output information corresponding to the input information and the predetermined matrix serves as a dictionary matrix of the input information.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a deciding unit. The acquiring unit acquires attribute information on a user. The deciding unit decides, based on the attribute information acquired by the acquiring unit, a placement position in which a virtual riding point that corresponds to a riding point that is used for the user to ride in a moving vehicle and that is virtually set is placed.

Abstract: An information processing apparatus according to the present application includes a reception unit, a decision unit, and a transmitting unit. The reception unit receives from a user terminal an order request, including information on a moving body that makes an on-the-spot sale, for a product to be sold at the on-the-spot sale. The decision unit decides a price of the product in accordance with the information, received by the reception unit, on the moving body. The transmitting unit transmits, to the user terminal, the price decided by the decision unit.

Abstract: According to one aspect of an embodiment a learning apparatus includes a first acquiring unit that acquires first output information that is output by an output layer when predetermined input information is input to a model that includes an input layer, a plurality of intermediate layers, and the output layer. The learning apparatus includes a second acquiring unit that acquires intermediate output information that is based on pieces of intermediate information that are output by the plurality of intermediate layers when the input information is input to the model. The learning apparatus includes a learning unit that learns the model based on the first output information and the intermediate output information.

Abstract: Systems, devices, and methods are disclosed for predicting potential effectiveness of query-triggered internet advertisements received from different web page publishers using a deep learning neural network language model for clustering queries, and for automatically adjusting bids for advertisements by advertisers based on the predicted potential effectiveness. Using query-clusters rather than queries for adjusting bids for advertisements allows for more accurate and more consistent bidding strategy despite of sparsity in historical advertisement performance data, higher return on investments for the advertisers, and higher revenue for the publishers of the advertisements.

Abstract: According to one aspect of an embodiment a learning device includes a learning unit that learns an encoder that includes an input layer to which input information is input, a plurality of intermediate layers that extract features of the input information from output of the input layer in a stepwise manner, and an output layer that outputs the features of the input information extracted by the plurality of intermediate layers. The learning unit learns an applier that applies, to output of the encoder, an attention matrix including a plurality of column components that are based on a plurality of attributes extracted by the plurality of intermediate layers. The learning unit learns a decoder that generates output information corresponding to the input information from the output of the encoder to which the attention matrix has been applied by the applier.

Abstract: A non-transitory computer-readable recording medium having stored therein an information control program that causes a computer to execute: determining whether predetermined operation of touching a display screen of a terminal device is performed and thereafter maintaining operation of maintaining a state, in which the display screen is touched as a result of performing the predetermined operation, is being performed; and controlling including continuing second change operation that is based on first change operation when it is determined, at the determining, that the maintaining operation is being performed, the first change operation being operation started in accordance with the predetermined operation and performed for changing predetermined information related to a content displayed on the display screen.

Abstract: Systems, devices, and methods are disclosed for predicting a dynamic floor price for increasing cleared revenue cleared after a winning bid is determined in an online bid auction. The dynamic floor price is predicted from a cascading classifier strategy implemented through a series of cascading machine learning based classifier models that have been trained.

Abstract: A boarding intention determination device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires a positional relationship between boarding position information representing a boarding spot for boarding a mobile object and user position information representing a current position of a user. The determination unit determines whether the user has an intention to board the mobile object based on the positional relationship that is acquired by the acquisition unit and behavior information representing behaviors of the user.

Abstract: A system and method enable exploration of cold ads in an online information system. Cold ads are ads that are new to the system and do not yet have reliable click through rate (CTR) estimates or click probabilities. The method and system selectively boost the click probabilities of cold ads to increase their likelihood of participating in and winning an auction so that the cold ad get more impressions, but without adversely affecting revenue in a production environment when cold ads are introduced.

Abstract: A voice extraction device according to the present invention includes a formation unit, an acquisition unit, an emphasis unit, a generation unit, and a selection unit. The formation unit forms directivity through beam-forming processing for each microphone in a microphone array including a plurality of microphones that form a plurality of channels. The acquisition unit acquires an observation signal that is a signal of voice received by each of the channels. The emphasis unit generates an emphasized signal by emphasizing the observation signal in accordance with the directivity formed by the formation unit. The generation unit generates, for each channel, frequency distribution of amplitude of the emphasized signal generated by the emphasis unit. The selection unit selects a channel corresponding to a voice signal used for voice recognition from among the channels based on the frequency distribution corresponding to the respective channels generated by the generation unit.

Abstract: An information processing device according to the present application includes an extraction unit and a subsequent stage generation unit. The extraction unit extracts a last conversation of a feedback utterance estimated to indicate a predetermined reaction of a second utterance subject relative to an utterance made by a first utterance subject, from a set of a plurality of conversations, based on a score assigned to the feedback utterance. The subsequent stage generation unit generates a subsequent stage classifier for deriving an index indicating a category of an unknown conversation, based on the last conversation extracted by the extraction unit.

Abstract: An information processing device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires time-series position information acquired by a terminal device. The determination unit determines whether relation between one or more pieces of interest position information included in the time-series position information acquired by the acquisition unit and prior or posterior position information in time series satisfies a predetermined criterion, and determines whether to hold the interest position information based on a determination result.

Abstract: According to one aspect of an embodiment a determination apparatus includes a reception unit that receives a notification, indicating that a user has visited a certain facility, from a terminal apparatus having a notification function that outputs the notification when the user visits the facility. The determination apparatus includes an estimation unit that estimates, on the basis of a statistical relation between a history of number of the notifications and a history of a using state of the facility, number of users who are visiting the certain facility from number of the notifications received in a certain period. The determination apparatus includes a determination unit that determines whether a new user is able to use the certain facility on the basis of a determination result by the estimation unit.

Abstract: According to one aspect of an embodiment a learning device includes an acquisition unit that acquires a plurality of pieces of input information of different classifications. The learning device includes a learning unit that learns a model as a model when the pieces of input information are inputted, outputs a plurality of pieces of output information corresponding to the respective pieces of input information. The model includes a plurality of encoding parts that generate pieces of characteristic information indicating characteristics of the pieces of input information from the pieces of input information. The model includes a synthesizing part that generates synthesized information obtained by synthesizing the pieces of characteristic information generated by the encoding parts. The model includes a plurality of decoding parts that generate pieces of output information of different classifications from the synthesized information generated by the synthesizing part.

Abstract: An estimation device includes a detecting unit that detects acceleration; an acquiring unit that acquires a feature value that is based on the acceleration; and an estimation unit that estimates a speed based on a limit value of the feature value.

Abstract: An estimation device according to the present application includes an acquiring unit and an estimation unit. The acquiring unit acquires user relationship information indicating a similarity relationship between a plurality of users. The estimation unit estimates, based on feeling information on a similar user who is similar to one of the users in the user relationship information acquired by the acquiring unit, a feeling of the one of the users.

Abstract: An information processing device according to the present application includes an interaction unit, a detection unit, and a change unit. The interaction unit performs interaction through dialogue with a user of a terminal device using the terminal device. The detection unit detects a transition of an aspect of the interaction. The change unit changes a mode of the interaction performed by the interaction unit when the detection unit detects the transition of the aspect.

Abstract: To maximize the accuracy and efficiency of predicting users that will enjoy targeted content, a proposed content selection solution looks to combine a first strategy of utilizing selection rules with a second strategy of utilizing machine based learning models. By combining the selection rules-based approach and the machine learning model-based approach, the proposed content selection solution is able to consider and recommend a wider range of users for each available content.

Abstract: An information processing system includes a first acquisition unit that acquires first information about the content of a content item, a second acquisition unit that acquires second information about a location of a user who has accessed the content item, and a deriving unit that derives third information based on the first information acquired by the first acquisition unit and the second information acquired by the second acquisition unit, the third information associating a factor included in the content of the content item with a specific area in which the user is located.

Abstract: A calculation apparatus includes an accepting unit that accepts, from a set-up person, a budget amount that is a maximum amount of compensation for distribution of information. The calculation apparatus includes a calculating unit that calculates, in accordance with the budget amount, the number of users who become the distribution destination of the information.

Abstract: An authentication apparatus according to the present application includes an acquiring unit, a first specifying unit, a second specifying unit, and an authentication unit. The acquiring unit acquires context information on a target user who becomes a target for authentication. The first specifying unit specifies a belonging cluster based on information related to a plurality of cluster groups and the context information on the target user, in each of the plurality of the cluster groups. The second specifying unit specifies, for each belonging cluster based on a classification model used to specify a predetermined candidate user in the belonging cluster specified by the first specifying unit, a candidate user, in a partial candidate user group that belongs to the belonging cluster, who satisfies a predetermined condition. The authentication unit authenticates the target user based on information related to the candidate user specified by the second specifying unit.

Abstract: A determination method according to the present application comprises predicting, based on information related to a predetermined ad spot that is displayed on a terminal device, amount-of-money information that is related to a billing amount billed to a first type advertisement distribution server, which has a predetermined relationship with content that includes the ad spot, when a first advertisement distributed by the first type advertisement distribution server is displayed on the ad spot, requesting, distribution of an advertisement from a second type advertisement distribution server, and determining, when the second advertisement has been acquired from the second type advertisement distribution server, to display the second advertisement on the ad spot and determines, when the second advertisement has not been acquired from the second type advertisement distribution server, to request the first advertisement as the advertisement to be displayed on the ad spot from the first type advertisement distribut

Abstract: A generating device includes an accepting unit that accepts a speech of a user. The generating device includes a generating unit that, by inputting the speech of the user to a single model in which a group of parameters are learned simultaneously to output a response directly from a speech, generates a response to the speech.

Abstract: An analysis device according to the present application includes an acquisition unit and a determiner. The acquisition unit acquires an evaluation value for evaluating an action taken by a user who has viewed an electronic page containing summary information of content. The determiner determines an improvement parameter preferable as a summary parameter to be used when the content is converted into the summary information, based on a summary parameter used in the conversion and the evaluation value acquired by the acquisition unit, by optimization of an unknown function.

Abstract: The technologies described herein identify multiple electronic devices belonging to the same group. A computer system receives, from network accessing applications of a plurality of electronic devices, internet protocol (IP) trajectory information about the network accessing applications via a network. The IP trajectory information includes a user identifier, a list of IP addresses associated with each of the network accessing applications, and timestamps specifying times each of the network accessing applications accesses the network. The computer system identifies and removes commercial IP addresses from the list of IP addresses, analyzes IP trajectory information to retrieve a most commonly used IP address for each of the network accessing applications during a certain period, and determines that different network accessing applications belong to the same group if the most commonly used IP addresses for the different network accessing applications are the same.

Abstract: According to one aspect of an embodiment a provision device includes a generation unit that generates a distributed representation of each context on the basis of a relative connection that multiple contexts have. The provision device includes a provision unit that provides information representing a change between a distributed representation of a given context that is generated before distribution information about the given context is distributed and a distributed representation of the given context that is generated after the distribution information is distributed.

Abstract: According to one aspect of an embodiment a provision device includes an acquisition unit that acquires a context representing a leading index to lead an impression of a given context. The provision device includes a specifying unit that specifies, from distributed representations of respective contexts that are generated on the basis of a relative connection multiple contexts have, other distributed representations having a given connection with a distributed representation of the given context and a distributed representation of the context representing the leading index. The provision device includes a provision unit that provides contexts corresponding to the other distributed representations that the specifying unit specifies.

Abstract: A determination method according to the present application comprises acquiring a first advertisement from a first type advertisement distribution server that has a predetermined relationship with content that includes a predetermined ad spot displayed on a terminal device, requesting, by sending amount-of-money information that is based on a condition related to the first type advertisement distribution server, distribution of an advertisement from a second type advertisement distribution server, and determining, when the second advertisement has been acquired from the second type advertisement distribution server, to display the second advertisement on the ad spot and determines, when the second advertisement has not been acquired from the second type advertisement distribution server, to display the first advertisement on the ad spot.

Abstract: Methods and systems to monitor viewable impressions of online advertisements are provided. A method includes receiving a request to provide an online advertisement for display on a user device. The method further includes providing an online advertisement viewability rules array to an online content publisher system in response to receiving the request. The online advertisement viewability rules array includes a plurality of rules, each rule of the plurality of rules including a definition of when a viewable impression of an online advertisement occurs on a user device. The method further includes receiving, through operation of the online content publisher system, data indicating a viewable impression of the online advertisement has occurred on the user device. The data is generated in response to a determination a viewable impression of the online advertisement has occurred on the user device according to at least one rule of the online advertisement viewability rules array.

Abstract: Methods and systems for processing viewability metrics are provided. A method includes receiving, by a processor of an online advertising platform, online advertisement viewability metrics collected by a system of an online content publisher. The online advertisement viewability metrics indicate whether a user of a user device viewed an online advertisement provided to the user device. The method further includes dividing, by the processor of the online advertising platform, the received online advertisement viewability metrics into a first online advertisement viewability metric set and a second online advertisement viewability metric set. The method further includes providing, by the processor of the online advertising platform, the first online advertisement viewability metric set to a system of a third-party analytics provider.

Abstract: According to one aspect of an embodiment a selecting device includes an acquiring unit that acquires experience information that indicates experience of a user in a predetermined event. The selecting device includes a selecting unit that selects information to provide to the user based on the experience information.

Abstract: Communication accounts may contain information such as account holder names, contact lists, and communication logs. Such information may be processed for generating features that may be used as corpus for a machine learning algorithm for developing classifiers of names. Specifically, names and contact names of the accounts may be arranged in to a document according to the manner in which account holders communicate with the contacts. The document may be used for generating word embedding of the names. Names prelabeled with ethnicity together with their word embedding may be used as training data for developing ethnicity classifiers based on machine learning algorithms.

Abstract: A determination device disclosed herein includes an acquiring unit, a specifying unit, and a determination unit. The acquiring unit acquires account information that is information related to a transaction of an account opened by a first company and evaluation information that is information related to evaluations of companies. The specifying unit specifies, based on the account information acquired by the acquiring unit, a second company that has a deposit/withdrawal transaction with the first company. The determination unit determines, based on the evaluation information related to the second company specified by the specifying unit and based on the information related to the deposit/withdrawal transaction between the first company and the second company, the creditworthiness of the first company.

Abstract: A generation device according to the subject application includes an acquiring unit and a generating unit. The acquiring unit acquires multiple pieces of vector information that correspond to each search target during the proximity search. The generating unit generates multiple pieces of centroid information, in which each piece of vector information is related in accordance with a distance for vector quantization, based on multiple pieces of vector information acquired by the acquiring unit such that a difference in the number of pieces of vector information related to each piece of centroid information falls within a predetermined value.

Abstract: An intermediate support system includes a receiving unit that receives, from a first user, a purchase request for a product or a service sold in a store; a user extracting unit that extracts a second user who is at least one of a user who is currently visiting the store and a user who is highly likely to visit the store; and an intermediating unit that sends, based on the purchase request received by the receiving unit, to a terminal device that is used by the second user extracted by the user extracting unit, information that requests to purchase the product or the service.

Abstract: According to one aspect of an embodiment a calculation device includes a determination unit that determines whether each of the pieces of the attribute information matches each of the conditions. The calculation device includes a decision unit that decides, on the basis of whether the continuous values included in the index information that is associated with the condition determined to be matched with the attribute information continue up to the predetermined value, whether the predetermined information is specified as the distribution target. The calculation device includes a calculation unit that calculates by using the coefficient that is included in the index information and that is associated with the condition that is determined to be matched with the attribute information, a priority at the time of distribution of the predetermined information.

Abstract: According to one aspect of an embodiment a decision device refers to condition information, in which a plurality of conditions that indicates an attribute of a distribution destination of predetermined information and that includes a condition in which an allowable range is set is represented by a Boolean operation expression, and that determines whether the attribute information matches the plurality of the conditions. The decision device determines, when it is determined that, from among the plurality of the conditions, the attribute information matches the condition in which the allowable range is set, whether the attribute information satisfies the allowable range that is set in the condition. The decision device decides, based on determination results obtained by the first determination unit and the second determination unit, whether the predetermined information is a distribution target.

Abstract: A calculation device according to the present application includes an acquiring unit and a calculation unit. The acquiring unit that acquires a plurality of pieces of first triple information indicating a relationship related to three types of elements and a plurality of pieces of second triple information obtained based on a conceptual system in the plurality of pieces of the first triple information. The calculation unit that calculates statistical information related to the plurality of pieces of the first triple information based on the number of pieces of the first triple information associated with each of the plurality of pieces of the second triple information acquired by the acquiring unit.