Abstract: An information processing apparatus includes an acquisition unit that acquires a degree of user's repeated use of items available in a service used by the user from a use history of the service; and a notification unit that notifies the user about an item in descending order of a degree of matching with the user among the items available in the service by using the degree of matching of each of the items with the user that is obtained from features of the user indicative of item use tendency in the service reflecting the degree of user's repeated use acquired by the acquisition unit and features of the each of the items indicative of characteristics of the each of the items.

Abstract: An information processing apparatus includes a processor configured to receive a narrowing condition designated upon a search request of a content, create a sentence which uses a more detailed expression of an expression described in the narrowing condition and indicates details of the content or select the sentence from sentence candidates prepared in advance, and present the created or selected sentence as a search result of the content.

Abstract: An information processing apparatus includes an acquisition unit that acquires an information group in which an abbreviated name is used, a specification unit that specifies a position where the abbreviated name is used in the information group from a type of information group acquired, a first extraction unit that extracts the abbreviated name from the specified position, a second extraction unit that extracts a formal name on the basis of a character related to the information group, and an association unit that associates the abbreviated name and the formal name with each other.

Abstract: An information processing apparatus includes a determination unit that determines a delivery priority of delivery target information on the basis of a disclosure possibility of the delivery target information and a necessity of the information for a receiver, and a disclosure unit that discloses the information to the receiver according to the delivery priority.

Abstract: An information processing device includes a computation unit that computes a similarity between character strings among plural character strings which express a content of electronic information and which are generated from the electronic information, and an association unit that associates a dissimilar character string that is not similar to another character string among the plural character strings with the electronic information as a representative character string that expresses the electronic information.

Abstract: An information processing apparatus includes a first label determination unit that determines a first label from information included in an e-mail, a second label determination unit that determines a second label from a result of a response made to the e-mail by a user, and a third label determination unit that determines a third label as a negative example for machine learning which is imparted to the e-mail, in a case where the first label and the second label do not correspond to each other.

Abstract: A non-transitory computer readable medium stores a program causing a computer to execute a process for learning. The process includes: generating, from an input text, an output text related to content of the input text and different from the input text by using a generation model that generates the output text from the input text; reconstructing the input text from the output text by using a reconstruction model that reconstructs the input text from the output text; and updating at least one of the generation model and the reconstruction model by causing the at least one of the generation model and the reconstruction model to perform learning by using a difference between the input text and a reconstructed text reconstructed in the reconstructing.

Abstract: An information processing apparatus includes an acquisition unit that acquires a degree of user's repeated use of items available in a service used by the user from a use history of the service; and a notification unit that notifies the user about an item in descending order of a degree of matching with the user among the items available in the service by using the degree of matching of each of the items with the user that is obtained from features of the user indicative of item use tendency in the service reflecting the degree of user's repeated use acquired by the acquisition unit and features of the each of the items indicative of characteristics of the each of the items.

Abstract: An information processing apparatus includes an attribute estimating unit, a preference estimating unit, a storage unit, a specifying unit, and a presentation unit. The attribute estimating unit estimates, from posting histories of multiple users, an attribute of each of the users. The preference estimating unit estimates, from the posting histories of the users, preference of each of the users. The storage unit stores the estimated attribute and preference in association with each other. The specifying unit specifies the preference corresponding to an attribute of a user who is to be a recommendation target. The preference is specified from information stored in the storage unit. The presentation unit presents, to the user who is to be a recommendation target, an item in accordance with the preference specified for the user who is to be a recommendation target.

Abstract: A purchasing behavior analysis apparatus includes an acquiring unit that acquires posting information about a specific product from posting information posted to a social networking service; a conversion unit; and an artificial neural network. The artificial neural network includes a first determination layer which determines whether a user is interested in the product, a second determination layer which determines whether the user wants the product, and a third determination layer which determines whether the user is predicted to purchase the product in the future. The purchasing behavior analysis apparatus further includes an interest presence probability calculating unit, a purchase desire probability calculating unit, and a purchase likelihood probability calculating unit.

Abstract: An information processing device includes a computation unit that computes a similarity between character strings among plural character strings which express a content of electronic information and which are generated from the electronic information, and an association unit that associates a dissimilar character string that is not similar to another character string among the plural character strings with the electronic information as a representative character string that expresses the electronic information.

Abstract: An information processing apparatus includes a determination unit that determines a delivery priority of delivery target information on the basis of a disclosure possibility of the delivery target information and a necessity of the information for a receiver, and a disclosure unit that discloses the information to the receiver according to the delivery priority.

Abstract: An information processing apparatus includes a first label determination unit that determines a first label from information included in an e-mail, a second label determination unit that determines a second label from a result of a response made to the e-mail by a user, and a third label determination unit that determines a third label as a negative example for machine learning which is imparted to the e-mail, in a case where the first label and the second label do not correspond to each other.

Abstract: An information processing apparatus includes an acquisition unit that acquires an information group in which an abbreviated name is used, a specification unit that specifies a position where the abbreviated name is used in the information group from a type of information group acquired, a first extraction unit that extracts the abbreviated name from the specified position, a second extraction unit that extracts a formal name on the basis of a character related to the information group, and an association unit that associates the abbreviated name and the formal name with each other.

Abstract: There is provided a non-transitory computer-readable medium storing a program causing a computer to execute a process. The process includes: accepting a search keyword; retrieving, from information items posted by users, a posted information item including the accepted search keyword, each of the posted information items including at least either of a text information item and an image information item, and acquiring posted information items which are within a predetermined chronological range with respect to the posted information item including the search keyword; and classifying, as image information items related to the search keyword, some of image information items included in the posted information items that have been acquired, and performing first determination of, for each of the classified image information items, whether or not a user who posted an information item including the classified image information item took an action related to the search keyword.

Abstract: An information processing apparatus includes a first extraction unit, a second extraction unit, and a notification unit. The first extraction unit extracts tags which co-occur in a document. The second extraction unit extracts a co-occurrence probability or an expected value of the number of co-occurrences of the co-occurring tags extracted by the first extraction unit from a co-occurrence probability or an expected value of the number of co-occurrences between the tags which is calculated with respect to a document which has already been tagged. The notification unit notifies that the co-occurring tags extracted by the first extraction unit are abnormal based on the co-occurrence probability or the expected value of the number of co-occurrences extracted by the second extraction unit.

Abstract: A purchasing behavior analysis apparatus includes an acquiring unit that acquires posting information about a specific product from posting information posted to a social networking service; a conversion unit; and an artificial neural network. The artificial neural network includes a first determination layer which determines whether a user is interested in the product, a second determination layer which determines whether the user wants the product, and a third determination layer which determines whether the user is predicted to purchase the product in the future. The purchasing behavior analysis apparatus further includes an interest presence probability calculating unit, a purchase desire probability calculating unit, and a purchase likelihood probability calculating unit.

Abstract: An information processing apparatus includes a first extracting unit, a second extracting unit, and a third extracting unit. The first extracting unit applies a topic model to target text information and extracts topic distributions for words constituting the text information. The second extracting unit extracts a first topic for the text information from the topic distributions extracted by the first extracting unit. The third extracting unit extracts a word satisfying a predetermined condition, from at least one word having the first topic, as a context word in the text information. The first topic is extracted by the second extracting unit.

Abstract: A non-transitory computer readable medium storing a program is provided. A process of the program includes: extracting, concerning first document information including texts, a word sense associated with a word in each text; setting a word sense to be a teacher signal; creating a first topic model by using the teacher signal; estimating a topic of each text by using the first topic model; generating a learning model by using the topic as a feature and the teacher signal as a category; extracting, concerning second document information including texts, a word sense associated with a word in each text; setting a word sense to be a teacher signal; creating a second topic model by using the teacher signal; estimating a topic of each text by using the second topic model; and estimating a category of each text by using the topic as a feature and the learning model.

Abstract: An information processing apparatus includes a receiving unit, a determining unit, a first assigning unit, an extracting unit, a second assigning unit, a modeling unit, and an output unit. The receiving unit receives a target character string. The determining unit determines whether a sentiment character string is included in the received character string. A first assigning unit assigns a label corresponding to a sentiment character string to the character string when the sentiment character string is included, and assigns plural labels to the character string when no sentiment character string is included. The extracting unit extracts a word from the character string. The second assigning unit assigns to the extracted word a label which has been assigned to the character string that includes the word. The modeling unit performs supervised topic modeling for the character string. The output unit outputs a result of a process by the modeling unit.