Disclosed is a virtual rating device that associate online ratings with differential time costs by endowing the graphical user interface that solicited ratings from the users with “physics,” including an initial (default) slider position and friction. When ratings are associated with differential time cost, scores correlated more strongly with objective service quality. The differential time costs optimize information when proportional to the deviation from the median score. Correlations between subjective rating scores and objective service performance can be further improved by boosting time costs for reporting extreme scores. The disclosed device lowers the sample size (and therefore costs) required for obtaining reliable, averaged crowd estimates. The disclosed device improves information quality in online rating and feedback systems. By endowing a rating widget with virtual friction to increase the time cost for reporting extreme scores, one can obtain a more reliable crowd estimates of quality. Implications include improving accuracy of evaluations in e-commerce, and the approach can be generalized and tested in a variety of large-scale online communication systems.

A method for conducting a plurality of electronic service exchanges over a network and a tangible, non-transient computer readable medium including instructions stored thereon to carry out the method are disclosed. The exchanges are conducted between two or more service providers on a basis of service time and description, and do not involve any monetary transaction. The method includes receiving information about an offered and requested service to initiate service exchanges. A plurality of parameters associated with the offered and requested services and an instruction set for each exchange are then identified. When the identification results in a match between the offered service and the requested service of a first service provider on a first terminal coupled to the network and the requested service and the offered service of at least one additional service provider on at least one additional terminal coupled to the network, the service exchange is conducted.

Apparatuses, methods, and systems are provided for making sequential recommendations using transition regularized non-negative matrix factorization. A non-application specific collaborative filtering based personalized recommender system can recommend a next logical item from a series of related items to a user. The recommender system can recommend a next desirable or series of next desirable new items to the user based on the historical sequence of all user-item preferences and a user's most recent interaction with an item. An asymmetric item-to-item transition matrix can capture aggregate sequential user-item interactions to design a loss function for matrix factorization that incorporates the transition information during decomposition into low-rank factor matrices.

A user device is caused to display a visual attribute representation for a plurality of visual attributes. Each visual attribute is based at least in part on an image and each visual attribute representation is selectable. A processor is caused to identify a plurality of items, each item is associated with a visual attribute matching at least one of the plurality of visual attributes. The items are classified a first set and a second set. The items in the first and second sets are mutually exclusive and simultaneously displayed. If the processor receives a single selection of a first visual attribute representation of a first visual attribute of the plurality of visual attributes, the first set consist of items associated with a visual attribute matching the first visual attribute and the second set comprise items associated with a visual attribute matching at least one of the plurality of visual attributes.

A customer-customized big data analysis system using cosmetic information and biometric information according to the present invention, the big data analysis system comprises: a skin care device used by each customer, generating a microcurrent to increase penetration of cosmetics, and detecting biometric information related to skin; a customer terminal connected to the skin care device through short-distance communication, input member information through an application, and displaying the biometric information; and a big data server including a member biometric information DB unit connected to customer terminals through long-distance communication, and receiving and storing member information and biometric information from the customer terminals, and a cosmetics DB unit storing information of cosmetics and additives, wherein the application recommends cosmetics by analyzing big data with its own algorithm.

The disclosure relates collecting feedback from passengers of autonomous vehicles. For instance, that a triggering circumstance for triggering a feedback request has been met may be determined. The triggering circumstance may include a driving event, a presence of other road users, or a trip state. A display requirement and data collection parameters for the feedback request are identified based on the determination. The display requirement defines when the feedback request is displayed and the data collection parameters identify information that the feedback request is to collect. The feedback request is provided for display based on the display requirement and data collection parameters. In response, feedback from a passenger of the autonomous vehicle is received and stored for later use.

This disclosure relates to method and system for dynamically identifying change in customer behaviour and providing appropriate personalized recommendations. The method includes, for each of a plurality of transactions and for each of one or more customers, generating customer behaviour data based on customer transaction data and pre-defined product segmentation data; generating a state-action-reward pair based on customer transaction data and the pre-defined product segmentation data; and generating state-behaviour mapping data based on customer behaviour data and the state-action-reward pair. The method further includes training an artificial neural network (ANN) based recommendation model based on the state-behaviour mapping data; predicting a ranked list of next state-action pairs for a target customer, based on current state of target customer and current customer behaviour data for target customer, using the ANN based recommendation model; providing one or more personalized recommendations to target customer based on the ranked list of next state-action pairs.

An Interactive Media Event (IME) system includes a sync server, a first user device, and a second user device, each device is coupled to the server. The server executes computer instructions instantiating a content segment engine which outputs a Party matter to the second user device and instantiates an IME engine which receives, from the second user device, a later reaction to the Party matter. The IME engine synchronizes the later reaction with the Party matter. The Party matter may include a media event and a prior reaction to the media event received from the first user device. The media event includes a primary content segment and synchronization information associated therewith. The prior reaction and/or the later reaction may be synchronized to the primary content segment and/or to each other using the synchronization information. A reaction may include chat data captured during the Party.

Technologies and techniques for delivering an order to an at least semiautonomous motor vehicle, and a motor vehicle. If an ordering function is activated, provider information is obtained from potential providers that offer delivery of an order by means of a mobile delivery system within a predefined area on a determined route from a current position of the motor vehicle to a destination. Coordinates and a time for a meeting of the motor vehicle with the mobile delivery system are determined for each of the potential providers that have been determined using traffic condition and planning criteria, and a corresponding ordering option that can be activated is provided. As soon as the ordering option is activated, the motor vehicle is at least semiautonomously driven to the determined meeting.

Technologies and techniques for delivering an order to an at least semiautonomous motor vehicle, and a motor vehicle. If an ordering function is activated, provider information is obtained from potential providers that offer delivery of an order by means of a mobile delivery system within a predefined area on a determined route from a current position of the motor vehicle to a destination. Coordinates and a time for a meeting of the motor vehicle with the mobile delivery system are determined for each of the potential providers that have been determined using traffic condition and planning criteria, and a corresponding ordering option that can be activated is provided. As soon as the ordering option is activated, the motor vehicle is at least semiautonomously driven to the determined meeting.