Abstract: A server acquires, from an achieved record database, achieved route information associating a start point, a finish point, and an achieved route being a past travel route between the start point and the finish point with one another, acquires a query including a start point and a finish point, creates one or more recommendable routes each having a start point and a finish point respectively agreeing with the start point and the finish point of the query by connecting one or more achieved routes recorded in the achieved data group, and outputs the one or more recommendable routes.

Abstract: A server acquires a waiting place of a passenger, a destination place of the passenger, and environmental information indicating environment of the waiting place; calculates an environmental nonconformity value indicating an index of a discomfort level of environment at the waiting place for the passenger based on the environmental information on the waiting place; calculates a transportation route of a mobile body to minimize a sum of a waiting time of the passenger at the waiting place, the waiting time being weighted using the environmental nonconformity value, and a moving time of the passenger to move from the waiting place at which the passenger rides on the mobile body to the destination place; and outputs information indicating the transportation route.

Abstract: A retrieval device includes a searching unit, an obtaining unit and a selecting unit. The searching unit searches a memory unit, which is stored object data that includes specific information identifying an object and attribute information indicating at least one of timing and position, for first object data containing specific information identical or similar to specified specific information. The obtaining unit obtains, from the memory unit, one or more sets of second object data which contains attribute information identical or similar to the attribute information included in the first object data and which contains specific information different than the specific information included in the first object data. The selecting unit selects one of the sets of second object data. The searching unit further searches for the first object data with the specific information included in the selected second object data serving as specified specific information.

Abstract: According to an embodiment, a data management system includes an index building unit and a searching unit. The index building unit generates a peripheral vector similar to a case example vector representing a feature vector of data to be stored, and builds index information of enabling identification of the case example vector corresponding to the generated peripheral vector. The searching unit refers to the index information in response to a search request in which a query vector representing an arbitrary feature vector is specified, identifies the case example vector corresponding to the peripheral vector that exactly matches with the query vector, and outputs a search result based on the identified case example vector.

Abstract: A display control device includes an assigning unit and a display control unit. The assigning unit assigns, with respect to S number of units of display (where S is an integer equal to or greater than two) included in a display area in which units of display having the width equal to L number of pixels (where L is an integer equal to or greater than one) are placed in the width direction, M number of sets of data (where M is an integer greater than S) in a divided manner. The display control unit controls display of the units of display in different display formats according to the number of sets of data of a particular type included in the assigned data.

Abstract: According to an embodiment, an image display apparatus includes a detection unit, a generation unit, and a display control unit. The detection unit detects areas to be focused in an input image. The generation unit generates a sub image by performing correction for improving visibility on an image of the detected area. The correction includes at least one of size correction for adjusting size of the image of the area, color correction for adjusting color of the image of the area, and distortion correction for transforming the image of the area so as to be an image acquired by viewing the image of the area from the front side. The display control unit displays the generated sub image on a display device together with the input image in a form that accompanies a screen representation representing a correspondence relation with the area.

Abstract: An item recommendation device includes a context information generator and a ranker. The context information generator generates and outputs context information including user intention by performing semantic analysis on a natural language request which is input. The ranker ranks candidates of items to be presented to a user based on the context information, user information representing an attribute of the user, and history information representing item usage history of the user.

Abstract: According to an embodiment, a data management system includes an index building unit and a searching unit. The index building unit generates a peripheral vector similar to a case example vector representing a feature vector of data to be stored, and builds index information of enabling identification of the case example vector corresponding to the generated peripheral vector. The searching unit refers to the index information in response to a search request in which a query vector representing an arbitrary feature vector is specified, identifies the case example vector corresponding to the peripheral vector that exactly matches with the query vector, and outputs a search result based on the identified case example vector.

Abstract: According to an embodiment, an item recommendation system includes a first recommendation engine that selects, from a group of items, first recommended items predicted to match with preference of a user; a second recommendation engine that selects second recommended items which do not match with the preference of the user but are expected to be of interest to the user; a mixer that mixes the first recommended and second recommended items and forms a group of recommended items; a user interface that presents the group of recommended items in an operable manner to the user; a calculator that calculates the level of interest indicating the degree of user satisfaction with respect to the group of recommended items; and a ratio control unit that, based on the calculated level of interest, varies the mixing ratio of the first recommended items and the second recommend items in the group of recommended items.

Abstract: According to an embodiment, a data processing device includes an extractor, a generator, and a constructor. The extractor is configured to extract, from a document having been subjected to predicate argument structure analysis and anaphora resolution, an element sequence including elements each being a combination of predicate having a shared argument and case type information of the shared argument, together with the shared argument. The generator is configured to produce case example data expressed by a feature vector for each attention element which is one of the elements. The feature vector includes feature value(s) about a sub-sequence having the attention element and feature value(s) about a sequence of the shared argument corresponding to the sub-sequence. The constructor is configured to construct a script model for estimating the elements each following antecedent context by performing machine learning based on a discriminative model using the case example data.

Abstract: According to an embodiment, an information presentation device is configured to subtract a first score indicating a relation with a first product and a second score indicating a relation with a second product from a third score indicating a relation with both the first product and the second product, to calculate a total score for each word included in a third group of documents relating to both the first product and the second product, extracted from a group of documents to be searched, and present at least one of one or more important words that are selected according to a predetermined criterion based on the total score, and one or more pieces of text including important words in the third group of documents, as a recommendation reason including information on a combined effect of the first product and the second product.

Abstract: According to an embodiment, a device includes a detector, first and second recognizers, an estimator, a second recognizer, and an output unit. The detector is configured to detect a visible text area including a visible character from an image. The first recognizer is configured to perform character pattern recognition on the visible text area, and calculate a recognition cost according to a likelihood of a character pattern. The estimator is configured to estimate a partially-hidden text area into which a hidden text area estimated to have a hidden character and the visible text area are integrated. The second recognizer is configured to calculate an integrated cost into which the calculated cost and a linguistic cost corresponding to a linguistic likelihood of a text that fits in the entire partially-hidden text area are integrated. The output unit is configured to output a text selected or ranked based on the integrated cost.

Abstract: A display control device includes an assigning unit and a display control unit. The assigning unit assigns, with respect to S number of units of display (where S is an integer equal to or greater than two) included in a display area in which units of display having the width equal to L number of pixels (where L is an integer equal to or greater than one) are placed in the width direction, M number of sets of data (where M is an integer greater than S) in a divided manner. The display control unit controls display of the units of display in different display formats according to the number of sets of data of a particular type included in the assigned data.

Abstract: A retrieval device includes a searching unit, an obtaining unit and a selecting unit. The searching unit searches a memory unit, which is stored object data that includes specific information identifying an object and attribute information indicating at least one of timing and position, for first object data containing specific information identical or similar to specified specific information. The obtaining unit obtains, from the memory unit, one or more sets of second object data which contains attribute information identical or similar to the attribute information included in the first object data and which contains specific information different than the specific information included in the first object data. The selecting unit selects one of the sets of second object data. The searching unit further searches for the first object data with the specific information included in the selected second object data serving as specified specific information.

Abstract: According to an embodiment, a device includes a detector, first and second recognizers, an estimator, a second recognizer, and an output unit. The detector is configured to detect a visible text area including a visible character from an image. The first recognizer is configured to perform character pattern recognition on the visible text area, and calculate a recognition cost according to a likelihood of a character pattern. The estimator is configured to estimate a partially-hidden text area into which a hidden text area estimated to have a hidden character and the visible text area are integrated. The second recognizer is configured to calculate an integrated cost into which the calculated cost and a linguistic cost corresponding to a linguistic likelihood of a text that fits in the entire partially-hidden text area are integrated. The output unit is configured to output a text selected or ranked based on the integrated cost.

Abstract: An item recommendation device includes a context information generator and a ranker. The context information generator generates and outputs context information including user intention by performing semantic analysis on a natural language request which is input. The ranker ranks candidates of items to be presented to a user based on the context information, user information representing an attribute of the user, and history information representing item usage history of the user.

Abstract: According to an embodiment, a data processing device includes an extractor, a generator, and a constructor. The extractor is configured to extract, from a document having been subjected to predicate argument structure analysis and anaphora resolution, an element sequence including elements each being a combination of predicate having a shared argument and case type information of the shared argument, together with the shared argument. The generator is configured to produce case example data expressed by a feature vector for each attention element which is one of the elements. The feature vector includes feature value(s) about a sub-sequence having the attention element and feature value(s) about a sequence of the shared argument corresponding to the sub-sequence. The constructor is configured to construct a script model for estimating the elements each following antecedent context by performing machine learning based on a discriminative model using the case example data.

Abstract: According to one embodiment, a learning device includes an input receiving unit, an inferring unit, and a learning unit. The input receiving unit receives an input of first data representing a sentence, rear boundaries of elements having an anaphoric relation within the sentence, and a correspondence relation between a first element that is an antecedent and a second element that is an anaphor. The inferring unit infers a range of the first element and a range of the second element that are determined by front boundaries and the rear boundaries by inferring the front boundaries of the first element and the second element based on the first data and a predetermined rule. The learning unit learns criteria used for determining whether or not there is the anaphoric relation in an arbitrary sentence based on the range of the first element and the range of the second element.

Abstract: According to an embodiment, an image display apparatus includes a detection unit, a generation unit, and a display control unit. The detection unit detects areas to be focused in an input image. The generation unit generates a sub image by performing correction for improving visibility on an image of the detected area. The correction includes at least one of size correction for adjusting size of the image of the area, color correction for adjusting color of the image of the area, and distortion correction for transforming the image of the area so as to be an image acquired by viewing the image of the area from the front side. The display control unit displays the generated sub image on a display device together with the input image in a form that accompanies a screen representation representing a correspondence relation with the area.

Abstract: According to an embodiment, a text processing apparatus includes a generator and a list display unit. The generator is configured to generate topic structure information by analyzing input text. The topic structure information includes information that represents a subordinate relation between a plurality of topics included in the text and information that represents a relative positional relation between the topics included in the text. The list display unit is configured to display, on a display, a topic structure list in which a plurality of nodes each corresponding to a topic included in the text and each including a label that represents a subordinate relation between a topic corresponding to each node and another topic are arranged based on the topic structure information in accordance with a relative positional relation between topics corresponding to the respective nodes.