An integrated management server comprising: a data formatting means for receiving sales record information from a plurality of distributor terminals of a plurality of distributors which are selling products to retailers; a data matching means for updating brand master information for universally managing alcoholic beverage brands sold to the retailers across the plurality of distributors based on each of the received sales record information; and a brand Identification means for analyzing image related information received from a user terminal, identifying an alcoholic beverage brand by comparing a feature information corresponding to an alcoholic beverage brand registered in the brand master information, and sending information related to identified alcoholic beverage brand to the user terminal; and the user terminal comprising: a display means for displaying information on the sent alcoholic beverage brand.

A system and method to determine a sentiment score associated with a review element extracted from a first review posted by an end-user system to a first review platform of the plurality of review platforms, where the first review is associated with a merchant system. In view of a review response template associated with the merchant system, a first review response is generated, the first review response including a set of values corresponding to a set of response components, where a value of the set of values includes the review element. The first review response to the first review platform is distributed via a first application program interface associated with the first review platform. Feedback relating to the first review response is received. One or more terms of the review response template are adjusted in view of the feedback to generate an updated review response template. In view of the updated review response template, a second review response is generated, where the second review response includes an updated set of values corresponding to the set of response components. The second review response is distributed to a second review platform via a second application program interface.

A system and method to determine a sentiment score associated with a review element extracted from a first review posted by an end-user system to a first review platform of the plurality of review platforms, where the first review is associated with a merchant system. In view of a review response template associated with the merchant system, a first review response is generated, the first review response including a set of values corresponding to a set of response components, where a value of the set of values includes the review element. The first review response to the first review platform is distributed via a first application program interface associated with the first review platform. Feedback relating to the first review response is received. One or more terms of the review response template are adjusted in view of the feedback to generate an updated review response template. In view of the updated review response template, a second review response is generated, where the second review response includes an updated set of values corresponding to the set of response components. The second review response is distributed to a second review platform via a second application program interface.

A system includes location indicators, a central computing system, and a mobile scanning device. The location indicators transmit location signals and are arranged in a store that includes stocked items. The central computing system stores an item association table that maps location values to the stocked items. The location values indicate locations of the stocked items in the store. The mobile scanning device receives ordered items from the central computing system, detects location signal(s), and determines a first location value based on the detected location signal(s). The mobile scanning device arranges the ordered items on a display based on the first location value, scans a first ordered item, and transmits data to the central computing system indicating that the first ordered item is associated with the first location value. The central computing system updates the item association table based on the data.

Systems and methods for providing a first user with recommendations of media assets for inclusion in a playlist for a second user based on the second user's viewing activity. These systems and methods receive, from the second user, an expression of disinterest in a media asset included in the playlist for the second user, update a user profile associated with the second user based on the expression of disinterest, and determine a recommendation for another media asset based on the updated user profile associated with the second user. The systems and methods provide the recommendation to the first user. By recommending media assets that the second user is least likely to object to, these systems and methods reduce the frequency of disruptive requests for media assets from the second user.

A computer-implemented method includes a method comprising using at least one hardware processor to: receive a plurality of data from a plurality of data sources; standardize the plurality of data; tag the standardized plurality of data with one or more companies; train a prediction model to predict a metric for each of the one or more companies based on the standardized plurality of data tagged with that company and historical measurements for that company; and apply the prediction model to new data to predict the metric for at least one of the one or more companies.

A computer-implemented method includes a method comprising using at least one hardware processor to: receive a plurality of data from a plurality of data sources; standardize the plurality of data; tag the standardized plurality of data with one or more companies; train a prediction model to predict a metric for each of the one or more companies based on the standardized plurality of data tagged with that company and historical measurements for that company; and apply the prediction model to new data to predict the metric for at least one of the one or more companies.

The present invention may provide, to quantize data including a definite value and an estimated value, a definite value and estimated value-based data quantization method comprising the steps of: a data quantization apparatus collecting, from at least two information manager-side apparatuses, data corresponding to a pre-set definite value for each period of a previous section pre-set on the basis of a current date, an estimated value and definite value for a current year on the basis of the current date, and an estimated value for each period of a subsequent section pre-set based on the current date; calculating at least one comparison reference value on the basis of a provision value after collecting the provision value that can be compared with the estimated value and the definite value; and quantizing the data for each period and for each section via a method for assigning a weight to the current year for each period, and each period of the previous section and subsequent section, by comparing the definite value for each period of the previous section, the definite value for each section of the current year, and the estimated value for each period of the subsequent section with the comparison reference value.

The present disclosure discloses a method and apparatus for displaying map points of interest, and an electronic device, relates to the field of artificial intelligence, and in particular to intelligent transportation. A specific implementation solution includes: acquiring features corresponding to multiple candidate points of interest; determining predicted popularity of the multiple candidate points of interest according to a mapping relation between each feature and each popularity and the features of the multiple candidate points of interest, and the mapping relation is determined based on the frequency of operations performed by a user for each sample point of interest in a historical time period; and displaying the candidate points of interest of which predicted popularity meets a preset popularity condition in a map. Therefore, the accuracy of the displayed points of interest may be enhanced.

In various example embodiments, a system and method for enhancing a user's on-line experience by utilizing a computer-implemented on-line session trace system is provided. The on-line session trace system is provided in connection with an on-line trading platform. The on-line session trace system records and stores a state of an on-line session associated with a user identification and permits a user associated with the user identification to commence a further on-line session from a state corresponding to the saved state of a previous on-line session.