Patent classifications
G06Q30/0203
Information processing apparatus of providing criteria for introducing products and non-transitory computer readable medium
An information processing apparatus includes a storage unit that stores history information regarding a use condition of the information processing apparatus to which a product has been introduced, an obtaining unit that obtains, from an external apparatus, analysis information for analyzing the history information, an analysis unit that analyzes the history information by executing the obtained analysis information, and an output unit that outputs an analysis result obtained by executing the analysis information.
Generating sentiment metrics using emoji selections
Methods, devices and systems for measuring emotions expressed by computing emoji responses to videos are described. An example method includes receiving user input corresponding to an emoji at a selected time, assigning at least one meaning-bearing word to the emoji, wherein the at least one meaning-bearing word has an intended use or meaning that is represented by the emoji, associating a corresponding vector with the at least one meaning-bearing word, wherein the corresponding vector is a vector of a plurality of vectors in a vector space, and aggregating the plurality of vectors to generate an emoji vector that corresponds to the user sentiment.
Generating classification and regression tree from IoT data
In an approach for monitoring data usage in an IoT network, a processor identifies a set of IoT devices. A processor collects a set of baseline readings for the set of IoT devices. A processor collects a set of IoT data from the set of IoT devices as a user answers a survey question. A processor compares the set of baseline readings to the set of IoT data. A processor derives an emotional state of the user while answering the survey question. A processor builds a CART model using the set of baseline readings, the set of IoT data, and a set of survey data. A processor applies the emotional state as a weight to the CART model. A processor outputs the weighted CART model.
Intelligent Analytics For Cloud Computing Applications
Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives, from a client device, a request for information associated with a category. In response to the request, the program further accesses a storage to retrieve a first value associated with the category. The program also determines a set of values associated with the category based on a plurality of transactions. The program further determines an optimization level value associated with the category. The program also determines a second value associated with the category based on the first value, the set of values, and the optimization level value. The program further provides, by an application operating on the device, a graphical user interface (GUI) to the client device, the GUI comprising the second value.
RELATIVE POSITION QUANTIFICATION SYSTEMS AND METHODS
Methods, systems, and apparatuses, including computer programs encoded on computer-readable media for receiving a first answer to an open-ended question from a first user, generating a first user opinion value comprising a first sum comprising all interaction values associated with the first user rating respective answers to the open-ended question, receiving a rating of the first answer from a second user, generating a second user opinion value comprising a second sum comprising all interaction values associated with the second user rating respective answers to the open-ended question including the first answer from the second user, generating a new interaction value based on the first sum of all interaction values, the second sum of all interaction values, and the rating of the first answer from the second user, and adjusting a position of the first user and a position of the second user in the ordinal data based on the new interaction value. The interaction values may be based on evaluations of ratings based on a scale measuring agreement or disagreement and the first user opinion value and the second user opinion value numerically represents the respective user's opinion.
EVENT-TRIGGERED MICROSURVEY CUSTOMIZATION AND DELIVERY SYSTEM
A real-time survey system can monitor real-time event and interaction data generated as a user interacts with an application. Using the event data in combination with static user attributes, the survey system can identify a subset of microsurveys a user is eligible to receive or participate in. Identifying eligibility can include applying one or more filters based on user attributes as well as detecting a triggering event that signals real-time relevance of the survey to the user's actions. If the user is eligible for multiple surveys, the survey system can select a single survey to send to the user. Surveys can be presented to users directly using the real-time survey system instead of via an alternate delivery method, such as email. After collecting survey data, survey system can automatically analyze survey responses, including by performing machine learning based thematic analysis on freeform text responses.
Management apparatus, management method, and program
A management apparatus includes an acquirer configured to acquire vehicle usage state information about a usage state of a vehicle, and a processing unit configured to apply the vehicle usage state information to a model which outputs feature amounts when vehicle usage information is input thereto to acquire the feature amounts, to select a secondary battery recommended to be mounted in the vehicle for which the vehicle usage state information is acquired from secondary batteries providable as the secondary battery to be mounted in the vehicle and storing electric power for travel on the basis of the acquired feature amounts, and to present the selected secondary battery.
Autonomous bidder solicitation and selection system
Systems and methods include a computer-implemented method for autonomous bidder solicitation and selection. A pro forma contract defined by a variables matrix of variables is created from a received procurement request. The web is scraped to identify potential bidders based on the variables. Suppliers are registered, including obtaining, through an on-line registration process, supplier registration information including commercial license information and bank account information for each supplier. Supplier registration information of the suppliers is authenticated. Bidders for the contract are selected, including creating a bidder list identifying suppliers who are to be invited to participate in bidding. Solicitations of interest are issued to bidders identified in the bidder list, the solicitations of interest including a statement of work. Bidding parties are evaluated to identify qualified bidders. A winning bidder is selected from the bidding parties. A final contract is created for the winning bidder.
ACQUIRING AND UTILIZING INDIVIDUAL STYLE PROFILES FOR ONLINE GIFT SHOPPING
Disclosed herein is a computer implemented method of acquiring and utilizing individual style profiles for online gift shopping for a gift recipient and a gift buyer on a ecommerce website. Deep attribute and aesthetic level preferences of the gift recipient are captured via an interactive engagement module. The gift recipient is exposed to both visual and textual questions. The deep attribute and aesthetic level preferences of the gift recipient are applied to surface products for purchase by said gift buyer. When the gift buyer sets a budget, the preferences of the gift recipient's surface products for purchase by the gift buyer within said budget. When a group of gift recipients are considered, an integrated style profile is created and conflicts are resolved.
Method and system for sharing playlists
Methods and systems for publishing a playlist are disclosed. A user generates or selects a playlist, which is then provided (e.g., uploaded) for publishing. A playlist identifying at least one of one or more tracks and one or more albums is received. The playlist may then be published such that the playlist is viewable by one or more individuals. A user may then purchase one or more tracks/albums identified in the playlist via an online store.