6 results about "Market activity" patented technology

We provide the system. [Solution] A means of collecting and storing users' payment history in a database, A method for analyzing payment history collected using machine learning algorithms and extracting user purchasing patterns, A means for generating product recommendations based on user-specific purchasing patterns, A means of collecting the latest market activity information and making the best possible proposals to users, A means of analyzing natural language input from users and providing appropriate information, A means of selecting and notifying market activity information when arriving at a specific facility using location information, A system that includes this.

The invention discloses a catering member intelligent marketing method and system based on a large model, and relates to the technical field of large model and business data cross analysis, and the method comprises the steps: firstly interpreting a commercial tenant demand, if the commercial tenant demand is a query demand, recognizing the query demand through the large model, organizing a language, and returning a query result; if yes, whether the commercial tenants need to be grouped and selected is determined, and if yes, designated grouping information is read, and then designated group selection operation is performed through interaction with the commercial tenants; if not, all information of a default grouping method is read for intelligent group selection; and marketing suggestions are returned according to the merchant marketing demands and the user grouping and selecting information. According to the method, multi-source data are integrated, semantic understanding, behavior prediction and dynamic optimization capabilities of a large model are utilized, and after marketing activity feasibility auditing and improvement are performed in combination with manual work, a system guides a merchant to execute a corresponding marketing activity, so that a more personalized and accurate marketing strategy can be realized, and the user experience and the merchant operation efficiency are improved.

The invention relates to the technical field of depth data processing, in particular to a data evaluation method, a data evaluation model, a data evaluation system and a computer readable storage medium. A plurality of market factor combinations are selected to calculate an industry market index representing market activeness, and the industry market index and historical price data are introduced to be input into a time sequence analysis model for price prediction; different pricing weights are given on the basis of different buyer identities to realize differential pricing, so that an evaluation result which is more in line with the expectation of the buyer is generated, and the transaction matching accuracy is improved. The invention aims to solve the problem of how to introduce market factors and differentiated pricing weights to carry out data value evaluation.

The invention provides a fresh food demand prediction method and system based on a cloud warehouse system, and the method comprises the steps: firstly obtaining multi-source demand time sequence data, including historical order fluctuation, environment perception monitoring and market activity association sequences, in a preset period of a target region, and then carrying out the time sequence, space and event feature coding of each sequence, the method comprises the steps of generating corresponding features, inputting the corresponding features into a regional warehouse group feature update network to obtain regional warehouse group features with dynamic adaptive capacity, generating predicted demand features containing multi-time granularity fresh food category demand quantity distribution through a decoder of a demand prediction model, and finally dynamically adjusting inventory configuration parameters of a cloud warehouse system according to the features. And the deviation rate of the fresh food reserve of the regional warehouse group and the predicted demand quantity is lower than a preset value, so that the fresh food demand can be comprehensively and accurately predicted, the cloud warehouse inventory configuration is optimized, and the operation efficiency is improved.

The invention discloses a dynamic data access authorization method, system and device based on market activeness and a medium, mainly relates to the technical field of access authorization, and is used for solving the problem of low efficiency of manual maintenance and updating of a data access control strategy in the existing scheme. Data potential safety hazards exist, and the data market value is not activated. Comprising the following steps: loading an authorized data directory to a data market operation platform, and displaying the authorized data directory through the data market operation platform; the data demander downloads authorization data in the sub-authorization data catalog from the data market operation platform according to the dynamic data catalog token; the data market operation platform generates market activeness of each piece of authorization data; obtaining a portrait analysis result of the demand user; determining a recommended data directory of each data demander according to the portrait analysis result and preset user description of the data demander; wherein the recommended data catalog belongs to the authorized data catalog.